Rule.VN1 — VoiceNet: one of 57 voice-descriptor dimensions sweeps by >=T, each consecutive step <=C Source. trajectories_v5.parquet | Family. one corpus in isolation Sampled from 51,767 matching rows, without replacement across the family, so no two tiers reuse a chain.
How to read a Script. Each chunk is one line:
a short tag of what the models heard in that clip, then the words spoken.
(underlined, plain ·
delivery, style) — the tag before the words. Emotions first, then how
it is delivered. Underlined descriptors are the ones that change across this chain
— anything identical on every clip is pulled out and stated once above, because a
value that never moves says nothing about a trajectory.
(ahem) — brackets inside the words
are a different thing: a real non-speech sound, printed where it happens. Most clips have
none; about a quarter do.
The full generated caption for any clip is still there, under
“full caption & clip details”. Its perceived-gender and background-noise
clauses were re-rendered from the numeric buckets, because the versions stored in the
corpus index had those two ladders running backwards.
The emotion clause has been re-derived, and it used to be wrong. The 40 emotion heads are not on a common scale — Interest has a median of 2.08 and is never zero, while Infatuation is zero on 87.7 % of clips — and the caption named an emotion whenever its raw score cleared an absolute 1.0. Interest therefore appeared in 94.8 % of captions and Sadness in almost none: the clause was reporting the scale of the head, not the emotion of the clip. An emotion is now named only when it lands in the top 10 % for that emotion, against a pooled tie-aware mid-rank ECDF over 132,833,726 utterances spanning every dataset and language. Interest now appears in 6.2 %, all 40 emotions occur, and a clip that is ordinary on all 40 says “no dominant emotion” rather than being forced to pick one (21.8 % of clips). This is the same scale the trajectory miner selects on, so the caption and the mining now refer to the same quantity: the mined target emotion is named in the final clip's caption on 73 % of chains, up from 46 %.
VOLT — loudness / volume ↑c-evasnippets-VN1 · #1
This is a VoiceNet dimension, not an emotion: loudness / volume (VOLT) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with loudness / volume (VOLT) above average — 0.62, higher than 62 % of clips in this corpus — and ends with it high at 0.86, higher than 86 % of clips in this corpus. That is a total rise of 0.24.
It takes 2 clips to get there. Clip to clip the moves are +0.24 — a single step, so there is no internal shape to speak of.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
2 clips · 40 s · en · evasnippets
hear it un-normalised (raw levels, max seam 0.5 dB)
k 2d_a 0.238d_b 0.238step_a 0.238step_b 0.238min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_01_02_0000_8track cond_podcastt_01_02_0000_8total 39.5slevel spread 0.5 dBmax seam 0.5 dB
Script — 2 chunks, 1 with a non-speech sound
Unchanged across all 2 clips: an adult masculine voice · neutral-toned, neutral-bright, fairly smooth, balanced body, normal-paced, neutral tension, some disfluency, average clarity
(contemplation, shame, thankfulness gratitude · normally alert, fairly steady, moderate pitch range, conversational)You are not what you do. I I've said that. And then when I was really faced with adversity, I realized I had more to learn than I realized (low mumble) about my identity. And I I think what I've come to realize just recently is my comfort, even though I do some really hard things, there were there was other things where I was very comfortable. And my my comfort disrupts my growth.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, neutral tension, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, moderate pitch range, light breath; affect is mildly positive, neutral stance, slightly guarded; reads as contemplation, shame, thankfulness gratitude; style: conversational, casual; good recording, quiet background; genuineness 4.5/6; vocal-burst blend 9.9/10; 21.0s.
cond_podcastt_01_02_0000_831538_00030956 · in -26.1 dBFS · gain +6.1 dB · evasnippets-00087
(pleasure ecstasy, awe, astonishment surprise·energised, moderately variable, wide pitch range, casual)Like, well, I love to garden. I'm like, good, do that. That's a good workout. Right. I know I have another friend. He's like, brother, I am not gonna spend three hours on a Saturday running. Good, you shouldn't. But what do you like to do? I love to golf. Lose the cart, brother. You know, walk it. And that's what he's been doing. And he loves it. He's like, I never even thought about it.
full caption & clip details
A young adult masculine voice; delivery is energised, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly negative, slightly dominant, slightly guarded; reads as pleasure ecstasy, awe, astonishment surprise; style: casual, conversational; average recording, some background noise; genuineness 6.0/6; vocal-burst blend 9.0/10; 18.4s.
cond_podcastt_01_02_0000_831538_00189936 · in -25.6 dBFS · gain +5.6 dB · evasnippets-00298
This is a VoiceNet dimension, not an emotion: style: storytelling (S_STRY) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with style: storytelling (S_STRY) above average — 0.64, higher than 64 % of clips in this corpus — and works its way down to below average at 0.27, lower than 73 % of clips in this corpus. That is a total fall of 0.37.
It takes 3 clips to get there. Clip to clip the moves are -0.25, then -0.13 — a fairly even climb, though some clips carry more of the change than others.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
3 clips · 57 s · nl · evasnippets
hear it un-normalised (raw levels, max seam 0.5 dB)
k 3d_a -0.374d_b -0.374step_a 0.248step_b 0.248min_cos_consec —min_cos_anchor —dataset evasnippetslang nlspeaker cond_podcastt_00_02_0002_6track cond_podcastt_00_02_0002_6total 56.9slevel spread 0.5 dBmax seam 0.5 dB
Script — 3 chunks, 3 with a non-speech sound
Unchanged across all 3 clips: an adult masculine voice · neutral-toned, neutral-bright, balanced body, normal-paced, neutral tension, moderately variable, wide pitch range, light breath
(astonishment surprise · very low-energy, frequent disfluency, somewhat unclear, conversational)(chuckle) Ik ga vier voorwerpen opnoemen. Producten. En welk van die heeft te maken met de herkomst van onder de plak zitten? (ahem) A een stok van een leerkracht. B een pot honing. C lijm of D een kinderwichtje? Kinderwichtje D. Locked en Loded.
full caption & clip details
An adult masculine voice; delivery is very low-energy, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, slightly rough, balanced body; somewhat unclear, frequent disfluency, wide pitch range, light breath; affect is mildly positive, slightly submissive, slightly guarded; reads as astonishment surprise; style: conversational, playful; below-average recording, quiet background; genuineness 5.0/6; vocal-burst blend 2.4/10; 20.1s.
cond_podcastt_00_02_0002_644743_00343960 · in -17.8 dBFS · gain -2.2 dB · evasnippets-00322
(embarrassment, astonishment surprise, shame·normally alert, frequent disfluency, average clarity, conversational)(ahem) Aanggeloseerd. Dat of (low mumble) dat er heel vaak mensen (low mumble) daar zaten die lam waren. En dan kwam er iemand aan die zeg: wil je nog een biertje? Wil je nog een biertje? Wil je nog een biertje? En dat ging maar door. En zei ze: oh, teken dan dit papiertje ook maar eventjes. En dan had je getekend voordat je twee jaar bij de VWC-dienst ging.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, frequent disfluency, wide pitch range, light breath; affect is mildly positive, slightly submissive, slightly guarded; reads as embarrassment, astonishment surprise, shame; style: conversational, casual; average recording, quiet background; genuineness 4.9/6; vocal-burst blend 5.8/10; 18.7s.
cond_podcastt_00_02_0002_644743_00372840 · in -17.7 dBFS · gain -2.3 dB · evasnippets-00072
(elation, thankfulness gratitude, amusement· normally alert, some disfluency, somewhat unclear, casual)Ik ga heel die trein heen en weer lopen. Mag ik (ahem) nog één antwoorden? Paardrijden, dus waar ligt de oorsprong van iets met de Franslagtoe? Paardrijden, dineren, borstpelletjes of Napoleon? Ik ga gewoon weer voor D. Ik zet hem gewoon vast. Ik vind het zo onannemelijk, ik ga gewoon voor Napoleon.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, slightly rough, balanced body; somewhat unclear, some disfluency, wide pitch range, light breath; affect is mildly negative, slightly dominant, slightly guarded; reads as elation, thankfulness gratitude, amusement; style: casual, conversational; average recording, some background noise; mildly explicit content; genuineness 6.0/6; vocal-burst blend 9.1/10; 17.8s.
cond_podcastt_00_02_0002_644743_00384712 · in -18.2 dBFS · gain -1.8 dB · evasnippets-00298
FULL — fullness of tone ↓c-evasnippets-VN1 · #3
This is a VoiceNet dimension, not an emotion: fullness of tone (FULL) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with fullness of tone (FULL) high — 0.79, higher than 79 % of clips in this corpus — and works its way down to below average at 0.40, lower than 60 % of clips in this corpus. That is a total fall of 0.40.
It takes 5 clips to get there. Clip to clip the moves are -0.24, then +0.00, then -0.16, then +0.00 — most of the change happening immediately, then levelling off.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
5 clips · 58 s · en · evasnippets
hear it un-normalised (raw levels, max seam 1.0 dB)
k 5d_a -0.395d_b -0.395step_a 0.235step_b 0.235min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_01_00_0000_4track cond_podcastt_01_00_0000_4total 58.0slevel spread 1.0 dBmax seam 1.0 dB
Script — 5 chunks, 2 with a non-speech sound
Unchanged across all 5 clips: a young adult masculine voice · neutral-toned, slightly bright, fairly smooth, balanced body, good recording, moderately variable, some disfluency, average clarity
(amusement, teasing, infatuation · normal-paced, normally alert, neutral tension, casual)A wee man. Is an Oh Ted Cruz is from Texas. He's not from Florida. Okay, so maybe Houston Rockets. Ted Cruz is from Texas. I'm gonna say C. Is that what you were thinking, Brian? Absolutely, Paris, you nailed it.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, neutral openness; reads as amusement, teasing, infatuation; style: casual, conversational; good recording, no background noise; genuineness 4.4/6; vocal-burst blend 3.1/10; 12.8s.
cond_podcastt_01_00_0000_497218_00149344 · in -20.3 dBFS · gain +0.3 dB · evasnippets-00321
(amusement, teasing, confusion·brisk, energised, neutral tension, casual)In what context? A hockey mom is lipstick on a pit bull and I know how to wee wee up. Okay. (chuckle) Paris, you wee weeed up once and it didn't end well for you. So (surprised gasp) Oh, that's true (breathy giggle) actually. That's the only context I have.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, normal breath; affect is positive, slightly dominant, neutral openness; reads as amusement, teasing, confusion; style: casual, conversational; good recording, quiet background; genuineness 4.7/6; vocal-burst blend 1.9/10; 15.8s.
cond_podcastt_01_00_0000_497218_00160424 · in -19.3 dBFS · gain -0.7 dB · evasnippets-00316
(amusement, teasing, confusion · brisk, energised, neutral tension, casual)In what context? A hockey mom is lipstick on a pit bull and I know how to wee wee up. Okay. (chuckle) Paris, you wee weeed up once and it didn't end well for you. So (surprised gasp) Oh, that's true (breathy giggle) actually. That's the only context I have.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, normal breath; affect is positive, slightly dominant, neutral openness; reads as amusement, teasing, confusion; style: casual, conversational; good recording, quiet background; genuineness 4.7/6; vocal-burst blend 1.9/10; 15.8s.
cond_podcastt_01_00_0000_497218_00160424 · in -19.3 dBFS · gain -0.7 dB · evasnippets-00316
(sexual lust, disgust, affection·normal-paced, normally alert, slightly relaxed, conversational)Okay. Marianne Williamson hates the system and I do love her for that. Tonally, this doesn't necessarily sound like the way she talks.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly submissive, neutral openness; reads as sexual lust, disgust, affection; style: conversational, casual; good recording, quiet background; genuineness 2.9/6; vocal-burst blend 1.5/10; 6.5s.
cond_podcastt_01_00_0000_497218_00166624 · in -20.2 dBFS · gain +0.2 dB · evasnippets-00320
(sexual lust, disgust, affection · normal-paced, normally alert, slightly relaxed, conversational)Okay. Marianne Williamson hates the system and I do love her for that. Tonally, this doesn't necessarily sound like the way she talks.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly submissive, neutral openness; reads as sexual lust, disgust, affection; style: conversational, casual; good recording, quiet background; genuineness 2.9/6; vocal-burst blend 1.5/10; 6.5s.
cond_podcastt_01_00_0000_497218_00166624 · in -20.2 dBFS · gain +0.2 dB · evasnippets-00320
S_ASMR — style: asmr ↑c-evasnippets-VN1 · #4
This is a VoiceNet dimension, not an emotion: style: asmr (S_ASMR) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with style: asmr (S_ASMR) at the very bottom of the range — 0.03, lower than 97 % of clips in this corpus — and ends with it below average at 0.27, lower than 73 % of clips in this corpus. That is a total rise of 0.24.
It takes 2 clips to get there. Clip to clip the moves are +0.24 — a single step, so there is no internal shape to speak of.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
2 clips · 38 s · en · evasnippets
hear it un-normalised (raw levels, max seam 2.6 dB)
k 2d_a 0.243d_b 0.243step_a 0.243step_b 0.243min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_02_0000_9track cond_podcastt_00_02_0000_9total 37.5slevel spread 2.6 dBmax seam 2.6 dB
Script — 2 chunks, 2 with a non-speech sound
Unchanged across all 2 clips: an adult masculine voice · neutral-toned, neutral-bright, fairly smooth, balanced body, average recording, quiet background, normal-paced, normally alert
(sexual lust, teasing, embarrassment · conversational, casual)(low mumble) Um, I'm good. You either want to see me irritated or you want attention and I'm going to give you polite attention by telling everyone to tell you they love you. And then we're gonna move on. (ahem) I love that.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as sexual lust, teasing, embarrassment; style: conversational, casual; average recording, quiet background; genuineness 4.8/6; vocal-burst blend 7.0/10; 15.6s.
cond_podcastt_00_02_0000_951991_00293991 · in -27.0 dBFS · gain +7.0 dB · evasnippets-00316
(jealousy and envy, shame, helplessness· casual, conversational)Thank you. Yes. I l I just replied to a DM from someone about this last night who was like, dude, (ahem) I'm stuck. I don't know what to do. I don't want to go to the gym because of COVID and I feel like shit. Like where I don't have the motivation. Where the f where do I start? I'm like, dude, just think about think about the things that you love to do that are active and start there. Like you don't
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as jealousy and envy, shame, helplessness; style: casual, conversational; average recording, quiet background; mildly explicit content; genuineness 5.6/6; vocal-burst blend 10.0/10; 21.7s.
cond_podcastt_00_02_0000_951991_00321560 · in -29.6 dBFS · gain +9.6 dB · evasnippets-00314
ARSH — harshness of articulation ↑c-evasnippets-VN1 · #5
This is a VoiceNet dimension, not an emotion: harshness of articulation (ARSH) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with harshness of articulation (ARSH) below average — 0.26, lower than 74 % of clips in this corpus — and ends with it around average at 0.47, lower than 53 % of clips in this corpus. That is a total rise of 0.21.
It takes 3 clips to get there. Clip to clip the moves are +0.00, then +0.21 — a slow start, with most of the change arriving in the final step.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
3 clips · 64 s · en · evasnippets
hear it un-normalised (raw levels, max seam 0.2 dB)
k 3d_a 0.214d_b 0.214step_a 0.214step_b 0.214min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_01_0003_1track cond_podcastt_00_01_0003_1total 63.7slevel spread 0.2 dBmax seam 0.2 dB
Script — 3 chunks, 0 with a non-speech sound
Unchanged across all 3 clips: an adult masculine voice · neutral-toned, neutral-bright, fairly smooth, balanced body, good recording, no background noise, normally alert, slightly relaxed
(concentration, contemplation, shame · normal-paced, steady, little disfluency, newsreading)A decentralized exchange can mimic the basic functionality of a decentralized exchange with certain advantages. This is achieved by these exchanges using blockchain for the back end. Therefore, trust in the switch plays a much smaller role in this approach than in the central switch. An important difference to centralized exchanges is that you as the user hold the private key to your funds.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, little disfluency, moderate pitch range, light breath; affect is neutral, neutral stance, slightly guarded; reads as concentration, contemplation, shame; style: newsreading, formal; good recording, no background noise; genuineness 0.0/6; vocal-burst blend 0.3/10; 20.6s.
cond_podcastt_00_01_0003_14063_00578056 · in -25.2 dBFS · gain +5.2 dB · evasnippets-00324
(concentration, contemplation, shame · normal-paced, steady, little disfluency, newsreading)A decentralized exchange can mimic the basic functionality of a decentralized exchange with certain advantages. This is achieved by these exchanges using blockchain for the back end. Therefore, trust in the switch plays a much smaller role in this approach than in the central switch. An important difference to centralized exchanges is that you as the user hold the private key to your funds.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, little disfluency, moderate pitch range, light breath; affect is neutral, neutral stance, slightly guarded; reads as concentration, contemplation, shame; style: newsreading, formal; good recording, no background noise; genuineness 0.0/6; vocal-burst blend 0.3/10; 20.6s.
cond_podcastt_00_01_0003_14063_00578056 · in -25.2 dBFS · gain +5.2 dB · evasnippets-00324
(sourness, sexual lust, interest·measured, fairly steady, almost no disfluency, formal)You are no longer dependent on the stock exchange operator and, for example, retain control of your deposited coins. The decentralized exchange of digital assets is made possible by protocols like the Zero X protocol, which runs on the Ethereum blockchain. What are privacy coins and why you care? When using traditional cryptocurrencies like Bitcoin, transactions are not completely private.
full caption & clip details
An adult masculine voice; delivery is normally alert, measured, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, almost no disfluency, moderate pitch range, minimal breath; affect is neutral, neutral stance, slightly guarded; reads as sourness, sexual lust, interest; style: formal, narration; good recording, no background noise; genuineness 0.0/6; vocal-burst blend 0.8/10; 22.2s.
cond_podcastt_00_01_0003_14063_00580120 · in -25.0 dBFS · gain +5.0 dB · evasnippets-00324
EXPL — expressiveness ↑c-evasnippets-VN1 · #6
This is a VoiceNet dimension, not an emotion: expressiveness (EXPL) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with expressiveness (EXPL) above average — 0.67, higher than 67 % of clips in this corpus — and ends with it at the very top of the range at 0.92, higher than 92 % of clips in this corpus. That is a total rise of 0.25.
It takes 3 clips to get there. Clip to clip the moves are +0.00, then +0.25 — a slow start, with most of the change arriving in the final step.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
3 clips · 37 s · en · evasnippets
k 3d_a 0.250d_b 0.250step_a 0.250step_b 0.250min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_01_01_0002_5track cond_podcastt_01_01_0002_5total 36.9slevel spread 0.4 dBmax seam 0.4 dB
Script — 3 chunks, 0 with a non-speech sound
Unchanged across all 3 clips: an adult masculine voice · neutral-toned, neutral-bright, fairly smooth, balanced body, good recording, no background noise, normal-paced, normally alert
(awe, elation, triumph · narration, monologue)Today a new Escanaba sails on the Atlantic, and they pause to commemorate their fallen brothers each year. In two thousand five, the day I interviewed Ray, they actually visited the site near Greenland where the ship went down.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, almost no disfluency, moderate pitch range, light breath; affect is neutral, neutral stance, slightly guarded; reads as awe, elation, triumph; style: narration, monologue; good recording, no background noise; genuineness 0.0/6; vocal-burst blend 0.0/10; 12.8s.
cond_podcastt_01_01_0002_597359_00320292 · in -22.5 dBFS · gain +2.5 dB · evasnippets-00321
(awe, elation, triumph · narration, monologue)Today a new Escanaba sails on the Atlantic, and they pause to commemorate their fallen brothers each year. In two thousand five, the day I interviewed Ray, they actually visited the site near Greenland where the ship went down.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, almost no disfluency, moderate pitch range, light breath; affect is neutral, neutral stance, slightly guarded; reads as awe, elation, triumph; style: narration, monologue; good recording, no background noise; genuineness 0.0/6; vocal-burst blend 0.0/10; 12.8s.
cond_podcastt_01_01_0002_597359_00320292 · in -22.5 dBFS · gain +2.5 dB · evasnippets-00321
(fear, relief, astonishment surprise· narration, formal)I had also heard a rumor that the Navy was searching the deep Atlantic for Ray's ship. He told me in two thousand five that perhaps finding the Escanaba would end speculation on why the cutter exploded.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, almost no disfluency, moderate pitch range, light breath; affect is neutral, neutral stance, slightly guarded; reads as fear, relief, astonishment surprise; style: narration, formal; good recording, no background noise; genuineness 0.0/6; vocal-burst blend 0.0/10; 11.0s.
cond_podcastt_01_01_0002_597359_00332992 · in -22.1 dBFS · gain +2.1 dB · evasnippets-00321
BRGT — brightness of timbre ↓c-evasnippets-VN1 · #7
This is a VoiceNet dimension, not an emotion: brightness of timbre (BRGT) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with brightness of timbre (BRGT) around average — 0.49, right about the corpus median — and works its way down to below average at 0.25, lower than 75 % of clips in this corpus. That is a total fall of 0.24.
It takes 2 clips to get there. Clip to clip the moves are -0.24 — a single step, so there is no internal shape to speak of.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
2 clips · 47 s · en · evasnippets
k 2d_a -0.237d_b -0.237step_a 0.237step_b 0.237min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_03_0003_3track cond_podcastt_00_03_0003_3total 46.7slevel spread 1.1 dBmax seam 1.1 dB
Script — 2 chunks, 1 with a non-speech sound
Unchanged across all 2 clips: a middle-aged masculine voice · neutral-toned, neutral-bright, balanced body, average recording, quiet background, neutral tension, fairly steady, frequent disfluency
(contemplation, pride, triumph · slow, very low-energy, fairly narrow pitch, monologue)Moment from this game that I never played from 10 years ago, because this game is doing such a good job of presenting it in a way that's telling me this is like, hey, this is a big deal, even though you don't know that it's a big deal. And I was like, everything that it tries to do, like, it succeeds at. And it I think I finished the game at like
full caption & clip details
A middle-aged masculine voice; delivery is very low-energy, slow, neutral tension, fairly steady; timbre is neutral-toned, neutral-bright, slightly rough, balanced body; somewhat unclear, frequent disfluency, fairly narrow pitch, normal breath; affect is mildly negative, neutral stance, fairly guarded; reads as contemplation, pride, triumph; style: monologue, whispered; average recording, quiet background; genuineness 3.3/6; vocal-burst blend 2.3/10; 29.4s.
cond_podcastt_00_03_0003_321461_00765612 · in -35.8 dBFS · gain +15.8 dB · evasnippets-00327
(intoxication altered states of consciousness, teasing, amusement·measured, normally alert, moderate pitch range, casual)says he'll tell us what is awesome, Nightingale. I didn't realize it was out yet, Poo Snacks. It's been on my Steam wish list for like three years. So good to know that they came out. Uh (low mumble) feel free to tell us about it a bit in chat. Uh (low mumble) and then the rest of chat is pretty much a memorial to Scooby.
full caption & clip details
An adult masculine voice; delivery is normally alert, measured, neutral tension, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; somewhat unclear, frequent disfluency, moderate pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as intoxication altered states of consciousness, teasing, amusement; style: casual, conversational; average recording, quiet background; genuineness 5.4/6; vocal-burst blend 4.7/10; 17.2s.
cond_podcastt_00_03_0003_321461_00771880 · in -34.7 dBFS · gain +14.7 dB · evasnippets-00316
This is a VoiceNet dimension, not an emotion: register (speaking pitch region) (REGS) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with register (speaking pitch region) (REGS) below average — 0.32, lower than 68 % of clips in this corpus — and ends with it around average at 0.57, higher than 57 % of clips in this corpus. That is a total rise of 0.24.
It takes 2 clips to get there. Clip to clip the moves are +0.24 — a single step, so there is no internal shape to speak of.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
2 clips · 53 s · en · evasnippets
k 2d_a 0.243d_b 0.243step_a 0.243step_b 0.243min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_00_0005_2track cond_podcastt_00_00_0005_2total 52.9slevel spread 0.3 dBmax seam 0.3 dB
Script — 2 chunks, 0 with a non-speech sound
Unchanged across all 2 clips: an adult masculine voice · neutral-toned, neutral-bright, fairly smooth, balanced body, good recording, quiet background, slightly relaxed, wide pitch range
(brisk, normally alert, fairly steady, monologue)There is a notable difference between the AI search results for questions about Donald Trump and Joe Biden's mental health. You can also see they do an AI summary. If you ask, does Biden show signs of dementia? There's an AI summary. The AI summary presents both sides of the debate, noting that special counsel Robert Hurr's report on Biden's handling of classified documents described the former president as quote,
full caption & clip details
An adult masculine voice; delivery is normally alert, brisk, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is neutral, slightly dominant, slightly guarded; no dominant emotion; style: monologue, cartoonish; good recording, quiet background; genuineness 2.1/6; vocal-burst blend 0.9/10; 25.0s.
cond_podcastt_00_00_0005_215022_00251952 · in -23.2 dBFS · gain +3.2 dB · evasnippets-00324
(contempt, teasing, doubt·normal-paced, energised, moderately variable, cartoonish)A well-meaning elderly man with a poor memory, the Verge suggested Google might be worried, then they might be worried about the president's response to questions about his alleged mental decline. YouTube, which Google owns, also agreed just this week to pay $24.5 million to settle a lawsuit brought by Trump after his account was suspended in the wake of the January 6th attack on the Capitol.
full caption & clip details
An adult masculine voice; delivery is energised, normal-paced, slightly relaxed, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, almost no disfluency, wide pitch range, light breath; affect is neutral, slightly dominant, slightly guarded; reads as contempt, teasing, doubt; style: cartoonish, narration; good recording, quiet background; genuineness 0.5/6; vocal-burst blend 1.1/10; 27.8s.
cond_podcastt_00_00_0005_215022_00254450 · in -23.0 dBFS · gain +3.0 dB · evasnippets-00323
FOCS — vocal focus ↓c-evasnippets-VN1 · #9
This is a VoiceNet dimension, not an emotion: vocal focus (FOCS) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with vocal focus (FOCS) high — 0.84, higher than 84 % of clips in this corpus — and works its way down to above average at 0.59, higher than 59 % of clips in this corpus. That is a total fall of 0.25.
It takes 2 clips to get there. Clip to clip the moves are -0.25 — a single step, so there is no internal shape to speak of.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
2 clips · 35 s · en · evasnippets
k 2d_a -0.250d_b -0.250step_a 0.250step_b 0.250min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_08_03_0003_8track cond_podcastt_08_03_0003_8total 34.9slevel spread 6.6 dBmax seam 6.6 dB
Script — 2 chunks, 2 with a non-speech sound
Unchanged across all 2 clips: a young adult masculine voice · neutral-toned, fairly smooth, balanced body, average recording, quiet background, brisk, energised, moderately variable
(amusement, teasing, pleasure ecstasy · neutral tension, casual, playful)And like I liked the stuff that he would do and I thought his theme song was fun and I thought Johnny was a great like fit in WWE, right? So I made a joke saying that his next takeover gear was he was going to be a living Funko pop. (childlike giggle) And apparently that was like the final straw and he blocked me.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as amusement, teasing, pleasure ecstasy; style: casual, playful; average recording, quiet background; genuineness 4.2/6; vocal-burst blend 3.8/10; 15.9s.
cond_podcastt_08_03_0003_827949_00178056 · in -19.7 dBFS · gain -0.3 dB · evasnippets-00299
(amusement, disgust, intoxication altered states of consciousness·relaxed, casual, playful)perfect. It's it's the most flustered I've ever heard him sound and like depressed. Like this is like straight up like depressed Dave. (chuckle) He he like had no clear picture of what was going on, heard a bunch of bullshit, and then he's just gotta like sit down and recap it for his fucking radio show.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, relaxed, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly submissive, neutral openness; reads as amusement, disgust, intoxication altered states of consciousness; style: casual, playful; average recording, quiet background; mildly explicit content; genuineness 4.6/6; vocal-burst blend 3.0/10; 18.8s.
cond_podcastt_08_03_0003_827949_00194537 · in -26.3 dBFS · gain +6.3 dB · evasnippets-00299
This is a VoiceNet dimension, not an emotion: style: storytelling (S_STRY) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with style: storytelling (S_STRY) above average — 0.70, higher than 70 % of clips in this corpus — and works its way down to around average at 0.46, lower than 54 % of clips in this corpus. That is a total fall of 0.24.
It takes 4 clips to get there. Clip to clip the moves are -0.24, then +0.00, then +0.00 — most of the change happening immediately, then levelling off.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
4 clips · 70 s · en · evasnippets
k 4d_a -0.239d_b -0.239step_a 0.239step_b 0.239min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_01_0003_8track cond_podcastt_00_01_0003_8total 69.7slevel spread 0.8 dBmax seam 0.8 dB
Script — 4 chunks, 0 with a non-speech sound
Unchanged across all 4 clips: a young adult masculine voice · neutral-toned, slightly bright, fairly smooth, balanced body, good recording, quiet background, brisk, energised
(hope enthusiasm optimism, elation · little disfluency, casual, conversational)Or who knows, maybe even write an article for us over on the website. Seriously, all you gotta do is reach out to us on the contact page over at sports history network dot com.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, little disfluency, wide pitch range, light breath; affect is positive, slightly dominant, slightly guarded; reads as hope enthusiasm optimism, elation; style: casual, conversational; good recording, quiet background; genuineness 2.2/6; vocal-burst blend 1.4/10; 9.3s.
cond_podcastt_00_01_0003_855631_00259970 · in -21.0 dBFS · gain +1.0 dB · evasnippets-00321
(hope enthusiasm optimism, thankfulness gratitude, contentment·some disfluency, casual, monologue)Again, it doesn't matter, because even if you don't understand the whole podcast space, we have a production team that can pretty much help you out with doing everything. All you gotta do, head over to sportshistry network dot com, head to the contact page, fill it out. That message goes right to me, and I'll reach out to you as soon as I can. But for now, dude, I'm through if you're through.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, slightly guarded; reads as hope enthusiasm optimism, thankfulness gratitude, contentment; style: casual, monologue; good recording, quiet background; genuineness 2.9/6; vocal-burst blend 8.2/10; 20.0s.
cond_podcastt_00_01_0003_855631_00261640 · in -21.9 dBFS · gain +1.9 dB · evasnippets-00317
(hope enthusiasm optimism, thankfulness gratitude, contentment · some disfluency, casual, monologue)Again, it doesn't matter, because even if you don't understand the whole podcast space, we have a production team that can pretty much help you out with doing everything. All you gotta do, head over to sportshistry network dot com, head to the contact page, fill it out. That message goes right to me, and I'll reach out to you as soon as I can. But for now, dude, I'm through if you're through.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, slightly guarded; reads as hope enthusiasm optimism, thankfulness gratitude, contentment; style: casual, monologue; good recording, quiet background; genuineness 2.9/6; vocal-burst blend 8.2/10; 20.0s.
cond_podcastt_00_01_0003_855631_00261640 · in -21.9 dBFS · gain +1.9 dB · evasnippets-00317
(hope enthusiasm optimism, thankfulness gratitude, contentment · some disfluency, casual, monologue)Again, it doesn't matter, because even if you don't understand the whole podcast space, we have a production team that can pretty much help you out with doing everything. All you gotta do, head over to sportshistry network dot com, head to the contact page, fill it out. That message goes right to me, and I'll reach out to you as soon as I can. But for now, dude, I'm through if you're through.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, slightly guarded; reads as hope enthusiasm optimism, thankfulness gratitude, contentment; style: casual, monologue; good recording, quiet background; genuineness 2.9/6; vocal-burst blend 8.2/10; 20.0s.
cond_podcastt_00_01_0003_855631_00261640 · in -21.9 dBFS · gain +1.9 dB · evasnippets-00317
S_RANT — style: ranting ↑c-evasnippets-VN1 · #11
This is a VoiceNet dimension, not an emotion: style: ranting (S_RANT) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with style: ranting (S_RANT) above average — 0.66, higher than 66 % of clips in this corpus — and ends with it high at 0.90, higher than 90 % of clips in this corpus. That is a total rise of 0.24.
It takes 5 clips to get there. Clip to clip the moves are +0.00, then +0.00, then +0.00, then +0.24 — a slow start, with most of the change arriving in the final step.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
5 clips · 135 s · en · evasnippets
k 5d_a 0.240d_b 0.240step_a 0.240step_b 0.240min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_00_0005_7track cond_podcastt_00_00_0005_7total 135.1slevel spread 0.2 dBmax seam 0.2 dB
Script — 5 chunks, 5 with a non-speech sound
Unchanged across all 5 clips: a young adult feminine voice · neutral-toned, fairly smooth, good recording, normally alert, neutral tension, moderately variable, some disfluency, average clarity
(affection, infatuation, sexual lust · normal-paced, moderate pitch range, casual, conversational)Yeah. Yeah. And (ahem) you know, my oldest, he's, you know, when I lose my shit, he's like, Mommy, do you need to take some deep breaths? Because I always tell them when they're upset, hey, hey, let's stop what we're doing. Let's close our eyes and take some deep breaths. That's my first thing that I that we that we do. And so when I'm fucking raging, my oldest son is like, Hey, mommy, can you take some deep breaths with me? I'm like, Yes.
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, slightly thin; average clarity, some disfluency, moderate pitch range, light breath; affect is mildly negative, neutral stance, neutral openness; reads as affection, infatuation, sexual lust; style: casual, conversational; good recording, quiet background; genuineness 4.4/6; vocal-burst blend 9.1/10; 27.2s.
cond_podcastt_00_00_0005_789496_00176552 · in -19.9 dBFS · gain -0.1 dB · evasnippets-00323
(affection, infatuation, sexual lust · normal-paced, moderate pitch range, casual, conversational)Yeah. Yeah. And (ahem) you know, my oldest, he's, you know, when I lose my shit, he's like, Mommy, do you need to take some deep breaths? Because I always tell them when they're upset, hey, hey, let's stop what we're doing. Let's close our eyes and take some deep breaths. That's my first thing that I that we that we do. And so when I'm fucking raging, my oldest son is like, Hey, mommy, can you take some deep breaths with me? I'm like, Yes.
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, slightly thin; average clarity, some disfluency, moderate pitch range, light breath; affect is mildly negative, neutral stance, neutral openness; reads as affection, infatuation, sexual lust; style: casual, conversational; good recording, quiet background; genuineness 4.4/6; vocal-burst blend 9.1/10; 27.2s.
cond_podcastt_00_00_0005_789496_00176552 · in -19.9 dBFS · gain -0.1 dB · evasnippets-00323
(affection, infatuation, sexual lust · normal-paced, moderate pitch range, casual, conversational)Yeah. Yeah. And (ahem) you know, my oldest, he's, you know, when I lose my shit, he's like, Mommy, do you need to take some deep breaths? Because I always tell them when they're upset, hey, hey, let's stop what we're doing. Let's close our eyes and take some deep breaths. That's my first thing that I that we that we do. And so when I'm fucking raging, my oldest son is like, Hey, mommy, can you take some deep breaths with me? I'm like, Yes.
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, slightly thin; average clarity, some disfluency, moderate pitch range, light breath; affect is mildly negative, neutral stance, neutral openness; reads as affection, infatuation, sexual lust; style: casual, conversational; good recording, quiet background; genuineness 4.4/6; vocal-burst blend 9.1/10; 27.2s.
cond_podcastt_00_00_0005_789496_00176552 · in -19.9 dBFS · gain -0.1 dB · evasnippets-00323
(affection, infatuation, sexual lust · normal-paced, moderate pitch range, casual, conversational)Yeah. Yeah. And (ahem) you know, my oldest, he's, you know, when I lose my shit, he's like, Mommy, do you need to take some deep breaths? Because I always tell them when they're upset, hey, hey, let's stop what we're doing. Let's close our eyes and take some deep breaths. That's my first thing that I that we that we do. And so when I'm fucking raging, my oldest son is like, Hey, mommy, can you take some deep breaths with me? I'm like, Yes.
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, slightly thin; average clarity, some disfluency, moderate pitch range, light breath; affect is mildly negative, neutral stance, neutral openness; reads as affection, infatuation, sexual lust; style: casual, conversational; good recording, quiet background; genuineness 4.4/6; vocal-burst blend 9.1/10; 27.2s.
cond_podcastt_00_00_0005_789496_00176552 · in -19.9 dBFS · gain -0.1 dB · evasnippets-00323
(infatuation, sourness, amusement·brisk, wide pitch range, casual, conversational)Session, he pegged Thane immediately. Second session, he pegged me. And I was like, Oh fuck. (ahem) That's that's uncomfortable because he's like, You're a very emotional person. And I'm like, Yes, accurate. He's like, You cat you have to take the emotion out of parenting. And I looked at him like he grew a horn out of his face. I'm like, You are asking me to do what? You're you're why why don't you just ask me to skin myself and walk around without like that?
full caption & clip details
A young adult feminine voice; delivery is normally alert, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as infatuation, sourness, amusement; style: casual, conversational; good recording, no background noise; mildly explicit content; genuineness 3.8/6; vocal-burst blend 7.5/10; 25.6s.
cond_podcastt_00_00_0005_789496_00182436 · in -19.7 dBFS · gain -0.3 dB · evasnippets-00324
COGL — cognitive load ↓c-evasnippets-VN1 · #12
This is a VoiceNet dimension, not an emotion: cognitive load (COGL) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with cognitive load (COGL) around average — 0.51, higher than 51 % of clips in this corpus — and works its way down to low at 0.09, lower than 91 % of clips in this corpus. That is a total fall of 0.42.
It takes 3 clips to get there. Clip to clip the moves are -0.20, then -0.22 — an even, steady climb — each clip carries about the same share.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
3 clips · 32 s · en · evasnippets
k 3d_a -0.421d_b -0.421step_a 0.223step_b 0.223min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_14_02_0001_1track cond_podcastt_14_02_0001_1total 31.9slevel spread 0.6 dBmax seam 0.6 dB
Script — 3 chunks, 1 with a non-speech sound
Unchanged across all 3 clips: a young adult masculine voice · neutral-toned, fairly smooth, balanced body, moderately variable, average clarity, wide pitch range
(amusement, teasing, embarrassment · normal-paced, energised, neutral tension, casual)Like if you're scrolling and you just heard like John Oliver like, Are you fucking kidding me? I mean how many times (breathy giggle) like (chuckle) I don't like I I I have to think of some good line for the bit, but it's very fun.
full caption & clip details
A young adult masculine voice; delivery is energised, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, normal breath; affect is positive, slightly dominant, neutral openness; reads as amusement, teasing, embarrassment; style: casual, playful; average recording, quiet background; mildly explicit content; genuineness 5.3/6; vocal-burst blend 2.2/10; 10.7s.
cond_podcastt_14_02_0001_125026_00235008 · in -23.7 dBFS · gain +3.7 dB · evasnippets-00300
(sexual lust, hope enthusiasm optimism, pleasure ecstasy· normal-paced, normally alert, neutral tension, conversational)Wanna do the headspace guy while we're listening. Hi. My name's Andy and welcome to Headspace. So I wanna begin by having you start to feel the weight of the body on the chest. Sorry, okay, let's go. No. It was too it was too tempting.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly negative, neutral stance, neutral openness; reads as sexual lust, hope enthusiasm optimism, pleasure ecstasy; style: conversational, casual; good recording, quiet background; genuineness 4.3/6; vocal-burst blend 5.4/10; 11.7s.
cond_podcastt_14_02_0001_125026_00243824 · in -23.6 dBFS · gain +3.6 dB · evasnippets-00315
(hope enthusiasm optimism, contentment, amusement·brisk, normally alert, slightly relaxed, conversational)Reflect on the lizard's ability to shed and regrow its tail. There may be things in your life you can leave behind making way for new growth. What could I drop in order to feel like I'm moving forward again?
full caption & clip details
An adult feminine voice; delivery is normally alert, brisk, slightly relaxed, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, little disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, neutral openness; reads as hope enthusiasm optimism, contentment, amusement; style: conversational, casual; good recording, no background noise; genuineness 2.2/6; vocal-burst blend 4.4/10; 9.2s.
cond_podcastt_14_02_0001_125026_00249760 · in -24.2 dBFS · gain +4.2 dB · evasnippets-00320
S_DRAM — style: dramatic ↓c-evasnippets-VN1 · #13
This is a VoiceNet dimension, not an emotion: style: dramatic (S_DRAM) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with style: dramatic (S_DRAM) above average — 0.75, higher than 75 % of clips in this corpus — and works its way down to around average at 0.52, higher than 52 % of clips in this corpus. That is a total fall of 0.23.
It takes 4 clips to get there. Clip to clip the moves are -0.23, then +0.00, then +0.00 — most of the change happening immediately, then levelling off.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
4 clips · 85 s · en · evasnippets
k 4d_a -0.232d_b -0.232step_a 0.232step_b 0.232min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_00_0005_4track cond_podcastt_00_00_0005_4total 85.5slevel spread 1.7 dBmax seam 1.7 dB
Script — 4 chunks, 4 with a non-speech sound
Unchanged across all 4 clips: a young adult feminine voice · neutral-toned, fairly smooth, balanced body, good recording, normally alert, neutral tension, moderately variable, average clarity
(relief · brisk, some disfluency, casual, conversational)rookies, whatever, a few people revealed who their partners are, at least from the get-go. I have them in the notes on my phone, which is not on my person at this present moment. Um (ahem) but I'll pull it out at some point. So we do know that it is opposite. I see. Okay. That's good to know. I it just they haven't
full caption & clip details
A young adult feminine voice; delivery is normally alert, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as relief; style: casual, conversational; good recording, quiet background; genuineness 5.3/6; vocal-burst blend 8.4/10; 16.0s.
cond_podcastt_00_00_0005_445141_00067584 · in -26.7 dBFS · gain +6.7 dB · evasnippets-00316
(infatuation, contentment·normal-paced, frequent disfluency, casual, playful)Newel and Casey, um, (low mumble) I forget which one of them said that, but one of them like referred to the other one as their partner. Um, (low mumble) Anisa and Logan, Anisa definitely is the one who said that. And then Tommy from Survivor and Big T. Now I don't know if those partners stick for however long or whatever it is. Um, (low mumble) but those were all mentioned in those like pre pre promo videos. So
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, frequent disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as infatuation, contentment; style: casual, playful; good recording, no background noise; genuineness 4.0/6; vocal-burst blend 1.4/10; 23.0s.
cond_podcastt_00_00_0005_445141_00074584 · in -28.4 dBFS · gain +8.4 dB · evasnippets-00318
(infatuation, contentment · normal-paced, frequent disfluency, casual, playful)Newel and Casey, um, (low mumble) I forget which one of them said that, but one of them like referred to the other one as their partner. Um, (low mumble) Anisa and Logan, Anisa definitely is the one who said that. And then Tommy from Survivor and Big T. Now I don't know if those partners stick for however long or whatever it is. Um, (low mumble) but those were all mentioned in those like pre pre promo videos. So
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, frequent disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as infatuation, contentment; style: casual, playful; good recording, no background noise; genuineness 4.0/6; vocal-burst blend 1.4/10; 23.0s.
cond_podcastt_00_00_0005_445141_00074584 · in -28.4 dBFS · gain +8.4 dB · evasnippets-00318
(infatuation, contentment · normal-paced, frequent disfluency, casual, playful)Newel and Casey, um, (low mumble) I forget which one of them said that, but one of them like referred to the other one as their partner. Um, (low mumble) Anisa and Logan, Anisa definitely is the one who said that. And then Tommy from Survivor and Big T. Now I don't know if those partners stick for however long or whatever it is. Um, (low mumble) but those were all mentioned in those like pre pre promo videos. So
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, frequent disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as infatuation, contentment; style: casual, playful; good recording, no background noise; genuineness 4.0/6; vocal-burst blend 1.4/10; 23.0s.
cond_podcastt_00_00_0005_445141_00074584 · in -28.4 dBFS · gain +8.4 dB · evasnippets-00318
This is a VoiceNet dimension, not an emotion: audible breath / respiration (RESP) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.50.
The chain starts with audible breath / respiration (RESP) low — 0.15, lower than 85 % of clips in this corpus — and ends with it above average at 0.74, higher than 74 % of clips in this corpus. That is a total rise of 0.60.
It takes 4 clips to get there. Clip to clip the moves are +0.23, then +0.21, then +0.16 — an even, steady climb — each clip carries about the same share.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
4 clips · 43 s · en · evasnippets
k 4d_a 0.597d_b 0.597step_a 0.228step_b 0.228min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_02_01_0001_2track cond_podcastt_02_01_0001_2total 43.5slevel spread 3.1 dBmax seam 2.4 dB
Script — 4 chunks, 0 with a non-speech sound
Unchanged across all 4 clips: an adult masculine voice · neutral-toned, fairly smooth, good recording, no background noise, normally alert, slightly relaxed, fairly steady, light breath
(interest · normal-paced, little disfluency, average clarity, authoritative)It was. BitTorrent was a well known company with a huge user base, their decision to launch an IEO on Binance, one of the biggest crypto exchanges in the world. It legitimized the whole IEO model.
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, full; average clarity, little disfluency, moderate pitch range, light breath; affect is neutral, slightly dominant, slightly guarded; reads as interest; style: authoritative, casual; good recording, no background noise; genuineness 1.9/6; vocal-burst blend 2.7/10; 12.2s.
cond_podcastt_02_01_0001_225899_00028744 · in -23.2 dBFS · gain +3.2 dB · evasnippets-00321
(astonishment surprise, sourness, contentment·brisk, no disfluency, clear, casual)Yeah. Okay, so in just a couple of years we've gone from Bitcoin skepticism to the birth of stablecoins, the rise and fall of ICOs, and the emergence of these new, more regulated fundraising models.
full caption & clip details
An adult feminine voice; delivery is normally alert, brisk, slightly relaxed, fairly steady; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; clear, no disfluency, moderate pitch range, light breath; affect is mildly positive, slightly dominant, slightly guarded; reads as astonishment surprise, sourness, contentment; style: casual, conversational; good recording, no background noise; genuineness 0.0/6; vocal-burst blend 0.8/10; 10.0s.
cond_podcastt_02_01_0001_225899_00030839 · in -25.3 dBFS · gain +5.3 dB · evasnippets-00321
(astonishment surprise, awe, elation· brisk, no disfluency, clear, conversational)Your report from that year. It's amazing how much happened in such a short time. Yield farming, liquidity mining, these crazy new protocols popping up every other day.
full caption & clip details
An adult feminine voice; delivery is normally alert, brisk, slightly relaxed, fairly steady; timbre is neutral-toned, slightly bright, fairly smooth, full; clear, no disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, neutral openness; reads as astonishment surprise, awe, elation; style: conversational, casual; good recording, no background noise; mildly explicit content; genuineness 0.4/6; vocal-burst blend 0.9/10; 8.8s.
cond_podcastt_02_01_0001_225899_00034040 · in -26.3 dBFS · gain +6.3 dB · evasnippets-00320
(confusion, astonishment surprise, hope enthusiasm optimism·normal-paced, some disfluency, clear, casual)Which makes sense. Okay, so DeFi summer, that was a wild ride. But by twenty twenty one, cracks were starting to show, even in the Ethereum ecosystem. Remember, gas fees were through the roof, transactions were taking forever.
full caption & clip details
An adult feminine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; clear, some disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as confusion, astonishment surprise, hope enthusiasm optimism; style: casual, playful; good recording, no background noise; genuineness 2.0/6; vocal-burst blend 2.1/10; 11.9s.
cond_podcastt_02_01_0001_225899_00039560 · in -23.9 dBFS · gain +3.9 dB · evasnippets-00321
VOLT — loudness / volume ↓c-evasnippets-VN1 · #15
This is a VoiceNet dimension, not an emotion: loudness / volume (VOLT) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with loudness / volume (VOLT) at the very top of the range — 0.92, higher than 92 % of clips in this corpus — and works its way down to above average at 0.68, higher than 68 % of clips in this corpus. That is a total fall of 0.25.
It takes 5 clips to get there. Clip to clip the moves are +0.00, then +0.00, then -0.25, then +0.00 — a plateau around step 1, where it barely moves.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
5 clips · 99 s · en · evasnippets
k 5d_a -0.245d_b -0.245step_a 0.245step_b 0.245min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_00_0005_6track cond_podcastt_00_00_0005_6total 98.5slevel spread 1.0 dBmax seam 1.0 dB
Script — 5 chunks, 0 with a non-speech sound
Unchanged across all 5 clips: a young adult feminine voice · neutral-toned, slightly bright, fairly smooth, balanced body, good recording, no background noise, neutral tension, moderately variable
(affection, amusement, elation · brisk, energised, casual, conversational)Yes, exactly. And Taylor decided to be one of them. She and Travis hug, they kiss. I'm not gonna get too deep into the TikTok lip reading, which we saw plenty of, but we do also have some audio on this. She's I mean, you hear her like telling him where she was sitting because it was so cool, and you know, I say something like, I've never been so proud ever, right? He says, I love you so much, like
full caption & clip details
A young adult feminine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as affection, amusement, elation; style: casual, conversational; good recording, no background noise; mildly explicit content; genuineness 4.0/6; vocal-burst blend 6.4/10; 20.6s.
cond_podcastt_00_00_0005_611127_00162136 · in -20.1 dBFS · gain +0.1 dB · evasnippets-00317
(affection, amusement, elation · brisk, energised, casual, conversational)Yes, exactly. And Taylor decided to be one of them. She and Travis hug, they kiss. I'm not gonna get too deep into the TikTok lip reading, which we saw plenty of, but we do also have some audio on this. She's I mean, you hear her like telling him where she was sitting because it was so cool, and you know, I say something like, I've never been so proud ever, right? He says, I love you so much, like
full caption & clip details
A young adult feminine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as affection, amusement, elation; style: casual, conversational; good recording, no background noise; mildly explicit content; genuineness 4.0/6; vocal-burst blend 6.4/10; 20.6s.
cond_podcastt_00_00_0005_611127_00162136 · in -20.1 dBFS · gain +0.1 dB · evasnippets-00317
(affection, amusement, elation · brisk, energised, casual, conversational)Yes, exactly. And Taylor decided to be one of them. She and Travis hug, they kiss. I'm not gonna get too deep into the TikTok lip reading, which we saw plenty of, but we do also have some audio on this. She's I mean, you hear her like telling him where she was sitting because it was so cool, and you know, I say something like, I've never been so proud ever, right? He says, I love you so much, like
full caption & clip details
A young adult feminine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is positive, slightly dominant, neutral openness; reads as affection, amusement, elation; style: casual, conversational; good recording, no background noise; mildly explicit content; genuineness 4.0/6; vocal-burst blend 6.4/10; 20.6s.
cond_podcastt_00_00_0005_611127_00162136 · in -20.1 dBFS · gain +0.1 dB · evasnippets-00317
(affection, infatuation, awe·normal-paced, normally alert, casual, conversational)This is just is what it is. Is out of her hands and it's spontaneous and it's not, I don't know, there's something about it. I'm just agreeing with you and thinking through this, like she just gets to show up and watch and whatever happens, she says good game and they kiss and that's it. Like it's kind of nice.
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly negative, slightly submissive, neutral openness; reads as affection, infatuation, awe; style: casual, conversational; good recording, no background noise; mildly explicit content; genuineness 3.9/6; vocal-burst blend 7.1/10; 18.1s.
cond_podcastt_00_00_0005_611127_00177752 · in -21.1 dBFS · gain +1.1 dB · evasnippets-00324
(affection, infatuation, awe · normal-paced, normally alert, casual, conversational)This is just is what it is. Is out of her hands and it's spontaneous and it's not, I don't know, there's something about it. I'm just agreeing with you and thinking through this, like she just gets to show up and watch and whatever happens, she says good game and they kiss and that's it. Like it's kind of nice.
full caption & clip details
A young adult feminine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly negative, slightly submissive, neutral openness; reads as affection, infatuation, awe; style: casual, conversational; good recording, no background noise; mildly explicit content; genuineness 3.9/6; vocal-burst blend 7.1/10; 18.1s.
cond_podcastt_00_00_0005_611127_00177752 · in -21.1 dBFS · gain +1.1 dB · evasnippets-00324
VALN — valence ↓c-evasnippets-VN1 · #16
This is a VoiceNet dimension, not an emotion: valence (VALN) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with valence (VALN) below average — 0.35, lower than 65 % of clips in this corpus — and works its way down to low at 0.11, lower than 89 % of clips in this corpus. That is a total fall of 0.24.
It takes 3 clips to get there. Clip to clip the moves are +0.00, then -0.24 — a slow start, with most of the change arriving in the final step.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
3 clips · 64 s · en · evasnippets
k 3d_a -0.243d_b -0.243step_a 0.243step_b 0.243min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_00_0000_8track cond_podcastt_00_00_0000_8total 63.7slevel spread 0.5 dBmax seam 0.5 dB
Script — 3 chunks, 1 with a non-speech sound
Unchanged across all 3 clips: an adult masculine voice · slightly cool, neutral-bright, fairly smooth, balanced body, average recording, quiet background, brisk, energised
(hope enthusiasm optimism, interest, elation · very clear, dramatic, playful)The leadership team needs to get together, maybe on a date night, whatever else, and form a plan. Form a plan of how you're going to lead all these examples I listed out, everything else, how you're going to lead the rest of your family. And then number five, have a family meeting, meetings, and communicate this plan. Notice, there's, I just got to five. It's the first time I mentioned the rest of the family.
full caption & clip details
An adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is slightly cool, neutral-bright, fairly smooth, balanced body; very clear, some disfluency, wide pitch range, light breath; affect is mildly negative, slightly dominant, fairly guarded; reads as hope enthusiasm optimism, interest, elation; style: dramatic, playful; average recording, quiet background; genuineness 2.6/6; vocal-burst blend 4.9/10; 21.6s.
cond_podcastt_00_00_0000_898085_00255984 · in -29.7 dBFS · gain +9.7 dB · evasnippets-00324
(hope enthusiasm optimism, interest, elation · very clear, dramatic, playful)The leadership team needs to get together, maybe on a date night, whatever else, and form a plan. Form a plan of how you're going to lead all these examples I listed out, everything else, how you're going to lead the rest of your family. And then number five, have a family meeting, meetings, and communicate this plan. Notice, there's, I just got to five. It's the first time I mentioned the rest of the family.
full caption & clip details
An adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is slightly cool, neutral-bright, fairly smooth, balanced body; very clear, some disfluency, wide pitch range, light breath; affect is mildly negative, slightly dominant, fairly guarded; reads as hope enthusiasm optimism, interest, elation; style: dramatic, playful; average recording, quiet background; genuineness 2.6/6; vocal-burst blend 4.9/10; 21.6s.
cond_podcastt_00_00_0000_898085_00255984 · in -29.7 dBFS · gain +9.7 dB · evasnippets-00324
(triumph, concentration, hope enthusiasm optimism ·average clarity, ranting, dramatic)All right? (ahem) So I'm telling you, all these things have to be set up before you get to leading the entire family. Have a family meeting, communicate that plan to them. And six, implement that plan. Actually do it. And the seventh one, rinse and repeat. Rinse and repeat, which means basically you gotta it's iterative. You gotta constantly, okay, well, that's working, that's not working.
full caption & clip details
An adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is slightly cool, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly negative, slightly dominant, slightly guarded; reads as triumph, concentration, hope enthusiasm optimism; style: ranting, dramatic; average recording, quiet background; genuineness 3.3/6; vocal-burst blend 4.0/10; 20.2s.
cond_podcastt_00_00_0000_898085_00258136 · in -29.2 dBFS · gain +9.2 dB · evasnippets-00324
FULL — fullness of tone ↑c-evasnippets-VN1 · #17
This is a VoiceNet dimension, not an emotion: fullness of tone (FULL) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with fullness of tone (FULL) above average — 0.65, higher than 65 % of clips in this corpus — and ends with it high at 0.89, higher than 89 % of clips in this corpus. That is a total rise of 0.25.
It takes 4 clips to get there. Clip to clip the moves are +0.00, then +0.00, then +0.25 — a slow start, with most of the change arriving in the final step.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
4 clips · 48 s · en · evasnippets
k 4d_a 0.248d_b 0.248step_a 0.248step_b 0.248min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_00_02_0000_5track cond_podcastt_00_02_0000_5total 47.6slevel spread 1.2 dBmax seam 1.2 dB
Script — 4 chunks, 4 with a non-speech sound
Unchanged across all 4 clips: a young adult masculine voice · neutral-toned, fairly smooth, balanced body, quiet background, normal-paced, normally alert, moderately variable, some disfluency
(amusement, elation, teasing · neutral tension, wide pitch range, casual, conversational)Because there was a shortage and you know, we they were getting ready to like invoke the (chuckle) the wartime laws where it's like you have to make other things but they were like, It's fine, we'll just do it.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as amusement, elation, teasing; style: casual, conversational; average recording, quiet background; mildly explicit content; genuineness 5.3/6; vocal-burst blend 7.5/10; 12.0s.
cond_podcastt_00_02_0000_523404_00080816 · in -27.9 dBFS · gain +7.9 dB · evasnippets-00321
(amusement, elation, teasing · neutral tension, wide pitch range, casual, conversational)Because there was a shortage and you know, we they were getting ready to like invoke the (chuckle) the wartime laws where it's like you have to make other things but they were like, It's fine, we'll just do it.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as amusement, elation, teasing; style: casual, conversational; average recording, quiet background; mildly explicit content; genuineness 5.3/6; vocal-burst blend 7.5/10; 12.0s.
cond_podcastt_00_02_0000_523404_00080816 · in -27.9 dBFS · gain +7.9 dB · evasnippets-00321
(amusement, elation, teasing · neutral tension, wide pitch range, casual, conversational)Because there was a shortage and you know, we they were getting ready to like invoke the (chuckle) the wartime laws where it's like you have to make other things but they were like, It's fine, we'll just do it.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as amusement, elation, teasing; style: casual, conversational; average recording, quiet background; mildly explicit content; genuineness 5.3/6; vocal-burst blend 7.5/10; 12.0s.
cond_podcastt_00_02_0000_523404_00080816 · in -27.9 dBFS · gain +7.9 dB · evasnippets-00321
(slightly relaxed, moderate pitch range, casual, conversational)And also, fun fact, (low mumble) um well this isn't a fun fact at all, but (ahem) uh the heiress to the Folgers fortune, Abigail Folgers, was murdered by Charles Manson in nineteen sixty nine.
full caption & clip details
A young adult masculine voice; delivery is normally alert, normal-paced, slightly relaxed, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, moderate pitch range, light breath; affect is mildly positive, neutral stance, slightly guarded; no dominant emotion; style: casual, conversational; good recording, quiet background; genuineness 4.3/6; vocal-burst blend 7.7/10; 11.2s.
cond_podcastt_00_02_0000_523404_00087368 · in -26.7 dBFS · gain +6.7 dB · evasnippets-00321
R_ORAL — resonance: oral ↑c-evasnippets-VN1 · #18
This is a VoiceNet dimension, not an emotion: resonance: oral (R_ORAL) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with resonance: oral (R_ORAL) at the very bottom of the range — 0.05, lower than 95 % of clips in this corpus — and ends with it above average at 0.64, higher than 64 % of clips in this corpus. That is a total rise of 0.59.
It takes 4 clips to get there. Clip to clip the moves are +0.10, then +0.24, then +0.25 — an uneven climb, but always in the same direction.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
4 clips · 60 s · en · evasnippets
k 4d_a 0.589d_b 0.589step_a 0.250step_b 0.250min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_07_02_0005_3track cond_podcastt_07_02_0005_3total 59.5slevel spread 1.6 dBmax seam 1.5 dB
Script — 4 chunks, 1 with a non-speech sound
Unchanged across all 4 clips: a young adult masculine voice · fairly smooth, balanced body, quiet background, neutral tension, some disfluency, average clarity, wide pitch range
(amusement, elation, pleasure ecstasy · brisk, energised, moderately variable, casual)I think I think what's fun I think what's really fun about that is that is that th there may be moments in this episode where not just I, but even Tom does go, I think I gotta not touch this one.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, normal breath; affect is positive, slightly dominant, neutral openness; reads as amusement, elation, pleasure ecstasy; style: casual, conversational; average recording, quiet background; genuineness 5.3/6; vocal-burst blend 4.5/10; 12.1s.
cond_podcastt_07_02_0005_334894_00036920 · in -18.4 dBFS · gain -1.6 dB · evasnippets-00315
(amusement, interest, astonishment surprise· brisk, energised, volatile, casual)Let me tell you about Neon Genesis Evangelist. (childlike giggle) Yes, it's really that. It's really that. (low mumble) Um, like and it's stuff where you're just like, he it's dialogue that sounds like it's said by the restaurantur in licorice pizza at points. You're just like, Jesus Christ. (low mumble) Um it also gets remade in France in 1937.
full caption & clip details
A young adult masculine voice; delivery is energised, brisk, neutral tension, volatile; timbre is slightly cool, slightly bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, normal breath; affect is elated, slightly dominant, neutral openness; reads as amusement, interest, astonishment surprise; style: casual, conversational; average recording, quiet background; mildly explicit content; genuineness 5.0/6; vocal-burst blend 1.7/10; 23.6s.
cond_podcastt_07_02_0005_334894_00078384 · in -19.4 dBFS · gain -0.6 dB · evasnippets-00020
(sourness, disgust, bitterness·normal-paced, normally alert, moderately variable, conversational)Which is some real nineteen tens Hollywood. Y you honestly you gotta respect the honesty of just being like, Well, we'll just switch it to another people. There's not enough of them for us to give a shit about. It's like okay, I
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, slightly guarded; reads as sourness, disgust, bitterness; style: conversational, casual; average recording, quiet background; genuineness 4.7/6; vocal-burst blend 4.9/10; 14.9s.
cond_podcastt_07_02_0005_334894_00251384 · in -18.5 dBFS · gain -1.5 dB · evasnippets-00299
(jealousy and envy, teasing, sexual lust· normal-paced, normally alert, moderately variable, conversational)We're not going to cast an Asian guy as the love interest ever again because of his accent. Well, and I think the thing that damns him too, beyond that, and that's that's
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, neutral stance, neutral openness; reads as jealousy and envy, teasing, sexual lust; style: conversational, casual; good recording, quiet background; genuineness 5.2/6; vocal-burst blend 2.8/10; 8.4s.
cond_podcastt_07_02_0005_334894_00280568 · in -19.9 dBFS · gain -0.1 dB · evasnippets-00320
R_MASK — resonance: mask ↑c-evasnippets-VN1 · #19
This is a VoiceNet dimension, not an emotion: resonance: mask (R_MASK) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with resonance: mask (R_MASK) above average — 0.75, higher than 75 % of clips in this corpus — and ends with it at the very top of the range at 0.98, higher than 98 % of clips in this corpus. That is a total rise of 0.23.
It takes 3 clips to get there. Clip to clip the moves are +0.23, then +0.00 — most of the change happening immediately, then levelling off.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
3 clips · 70 s · en · evasnippets
k 3d_a 0.228d_b 0.228step_a 0.228step_b 0.228min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_14_03_0001_2track cond_podcastt_14_03_0001_2total 70.1slevel spread 0.7 dBmax seam 0.7 dB
Script — 3 chunks, 0 with a non-speech sound
Unchanged across all 3 clips: a young adult feminine voice · slightly cool, neutral-bright, average recording, quiet background, normal-paced, subdued, slightly relaxed, fairly steady
(awe, thankfulness gratitude, hope enthusiasm optimism · some disfluency, average clarity, moderate pitch range, monologue)We thank you that we are totally healed, made whole, and completely restored to your divine design, which positions us to walk in your gift of divine health. We give you thanks and praise for your God-gifted blessings and powers which we receive on your breath at creation. We thank you that these gifts equip us to be the overcomers of the enemy in this natural world. We praise you, Lord. We worship you and bow down before you as we give you all honor, all glory, and all praise.
full caption & clip details
A young adult feminine voice; delivery is subdued, normal-paced, slightly relaxed, fairly steady; timbre is slightly cool, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, moderate pitch range, light breath; affect is mildly positive, neutral stance, slightly guarded; reads as awe, thankfulness gratitude, hope enthusiasm optimism; style: monologue, casual; average recording, quiet background; genuineness 1.8/6; vocal-burst blend 3.5/10; 25.7s.
cond_podcastt_14_03_0001_265543_00021472 · in -33.3 dBFS · gain +13.3 dB · evasnippets-00306
(relief, fear, thankfulness gratitude ·frequent disfluency, clear, fairly narrow pitch, whispered)The first words Jesus stated from the cross are words of forgiveness. Father, forgive them, for they know not what they do. Luke 23, verse 34. He lived, died, and rose again so that we can be forgiven. His blood cleanses from sin, and all the risen Redeemer now guarantees that he has conquered sin, death, and hell.
full caption & clip details
A young adult feminine voice; delivery is subdued, normal-paced, slightly relaxed, fairly steady; timbre is slightly cool, neutral-bright, slightly rough, thin; clear, frequent disfluency, fairly narrow pitch, light breath; affect is mildly negative, neutral stance, slightly guarded; reads as relief, fear, thankfulness gratitude; style: whispered, monologue; average recording, quiet background; genuineness 2.1/6; vocal-burst blend 0.8/10; 22.1s.
cond_podcastt_14_03_0001_265543_00139824 · in -32.6 dBFS · gain +12.6 dB · evasnippets-00297
(relief, fear, thankfulness gratitude · frequent disfluency, clear, fairly narrow pitch, whispered)The first words Jesus stated from the cross are words of forgiveness. Father, forgive them, for they know not what they do. Luke 23, verse 34. He lived, died, and rose again so that we can be forgiven. His blood cleanses from sin, and all the risen Redeemer now guarantees that he has conquered sin, death, and hell.
full caption & clip details
A young adult feminine voice; delivery is subdued, normal-paced, slightly relaxed, fairly steady; timbre is slightly cool, neutral-bright, slightly rough, thin; clear, frequent disfluency, fairly narrow pitch, light breath; affect is mildly negative, neutral stance, slightly guarded; reads as relief, fear, thankfulness gratitude; style: whispered, monologue; average recording, quiet background; genuineness 2.1/6; vocal-burst blend 0.8/10; 22.1s.
cond_podcastt_14_03_0001_265543_00139824 · in -32.6 dBFS · gain +12.6 dB · evasnippets-00297
This is a VoiceNet dimension, not an emotion: style: authoritative (S_AUTH) describes the voice or the recording itself — how it sounds — rather than what the speaker feels. The rule asked it to sweep by at least 0.20.
The chain starts with style: authoritative (S_AUTH) below average — 0.38, lower than 62 % of clips in this corpus — and ends with it above average at 0.67, higher than 67 % of clips in this corpus. That is a total rise of 0.30.
It takes 5 clips to get there. Clip to clip the moves are +0.15, then +0.18, then -0.04, then +0.00 — not a clean run: step 3 moves back the other way by 0.04 before the chain recovers.
No single step is larger than the 0.25 cap, which is exactly what stops this being a jump cut: the change has to be spread across the clips instead of landing all at once.
Same speaker? No similarity score is available here — the evasnippets clips in this chain are not covered by either speaker-embedding store. The chain therefore rests on the corpus's own speaker/track labelling, which is not the same as a measured check.
Voice consistency: these clips are separate recordings joined together, and no voice-similarity check could be run for this sample, so there is no measurement of how closely the voices match. You may hear the voice shift between segments. Voice conversion has not been applied yet in this build. A planned pass will re-render every segment onto the first segment's voice, which removes this effect entirely.
5 clips · 46 s · en · evasnippets
k 5d_a 0.298d_b 0.298step_a 0.185step_b 0.185min_cos_consec —min_cos_anchor —dataset evasnippetslang enspeaker cond_podcastt_02_03_0005_5track cond_podcastt_02_03_0005_5total 45.6slevel spread 4.2 dBmax seam 4.2 dB
Script — 5 chunks, 0 with a non-speech sound
Unchanged across all 5 clips: an adult masculine voice · neutral-toned, fairly smooth, balanced body, normally alert, light breath
(sexual lust, interest, hope enthusiasm optimism · normal-paced, neutral tension, moderately variable, casual)Okay, real world examples you say. Hipby with'em. I'm ready to see buffers in action outside of the lab. All right, let's start with something we encounter every day. Our bodies. Believe it or not, we're walking, talking examples of buffer systems in action. Wait, really?
full caption & clip details
An adult masculine voice; delivery is normally alert, normal-paced, neutral tension, moderately variable; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; average clarity, some disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, neutral openness; reads as sexual lust, interest, hope enthusiasm optimism; style: casual, conversational; average recording, quiet background; mildly explicit content; genuineness 4.6/6; vocal-burst blend 3.6/10; 13.7s.
cond_podcastt_02_03_0005_500413_00048336 · in -27.2 dBFS · gain +7.2 dB · evasnippets-00327
(normal-paced, slightly relaxed, fairly steady, casual)Precisely. It's constantly neutralizing any excess acids or bases that enter the bloodstream. Think of it like having a tiny chemistry lab inside you, constantly monitoring and adjusting pH levels to keep everything running smoothly.
full caption & clip details
An adult feminine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; clear, little disfluency, moderate pitch range, light breath; affect is mildly positive, neutral stance, slightly guarded; no dominant emotion; style: casual, monologue; good recording, no background noise; mildly explicit content; genuineness 0.9/6; vocal-burst blend 3.0/10; 12.0s.
cond_podcastt_02_03_0005_500413_00054616 · in -31.2 dBFS · gain +11.2 dB · evasnippets-00321
(fear, astonishment surprise·brisk, slightly relaxed, moderately variable, casual)They're literally keeping us alive. They are, and their superpowers don't stop there. Think about all those everyday products that rely on buffers to maintain a stable pH.
full caption & clip details
An adult feminine voice; delivery is normally alert, brisk, slightly relaxed, moderately variable; timbre is neutral-toned, slightly bright, fairly smooth, balanced body; clear, almost no disfluency, wide pitch range, light breath; affect is mildly positive, slightly dominant, neutral openness; reads as fear, astonishment surprise; style: casual, conversational; good recording, no background noise; mildly explicit content; genuineness 1.9/6; vocal-burst blend 2.8/10; 9.3s.
cond_podcastt_02_03_0005_500413_00056328 · in -27.0 dBFS · gain +7.0 dB · evasnippets-00320
(normal-paced, slightly relaxed, fairly steady, storytelling)Exactly. Buffers help prevent that by maintaining a pH that's gentle on our hair and scalp.
full caption & clip details
An adult feminine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, no disfluency, moderate pitch range, light breath; affect is mildly positive, neutral stance, slightly guarded; no dominant emotion; style: storytelling, authoritative; good recording, no background noise; genuineness 1.0/6; vocal-burst blend 1.0/10; 5.0s.
cond_podcastt_02_03_0005_500413_00059928 · in -28.7 dBFS · gain +8.7 dB · evasnippets-00289
(normal-paced, slightly relaxed, fairly steady, storytelling)Exactly. Buffers help prevent that by maintaining a pH that's gentle on our hair and scalp.
full caption & clip details
An adult feminine voice; delivery is normally alert, normal-paced, slightly relaxed, fairly steady; timbre is neutral-toned, neutral-bright, fairly smooth, balanced body; clear, no disfluency, moderate pitch range, light breath; affect is mildly positive, neutral stance, slightly guarded; no dominant emotion; style: storytelling, authoritative; good recording, no background noise; genuineness 1.0/6; vocal-burst blend 1.0/10; 5.0s.
cond_podcastt_02_03_0005_500413_00059928 · in -28.7 dBFS · gain +8.7 dB · evasnippets-00289