Datasets:
phrase stringclasses 5
values | text_bang stringclasses 5
values | seconds_bang float32 2.08 11.4 | stream_identical_bang bool 1
class | stream_gaps_bang int32 0 0 | audio_bang_direct audioduration (s) 2.08 11.4 | trail_s_bang_direct float32 0.27 1.25 | tail_peak_dbfs_bang_direct float32 -89.9 -43.7 | audio_bang_streaming audioduration (s) 2.08 11.4 | trail_s_bang_streaming float32 0.27 1.25 | tail_peak_dbfs_bang_streaming float32 -89.9 -43.7 | audio_bang_opus audioduration (s) 2.08 11.4 | trail_s_bang_opus float32 0.27 1.25 | tail_peak_dbfs_bang_opus float32 -90 -40.2 | text_dot stringclasses 5
values | seconds_dot float32 0.96 12 | stream_identical_dot bool 1
class | stream_gaps_dot int32 0 0 | audio_dot_direct audioduration (s) 0.96 12 | trail_s_dot_direct float32 0.2 0.32 | tail_peak_dbfs_dot_direct float32 -89.9 -74.2 | audio_dot_streaming audioduration (s) 0.96 12 | trail_s_dot_streaming float32 0.2 0.32 | tail_peak_dbfs_dot_streaming float32 -89.9 -74.2 | audio_dot_opus audioduration (s) 0.96 12 | trail_s_dot_opus float32 0.2 0.32 | tail_peak_dbfs_dot_opus float32 -89.7 -72.4 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
welcome | You are very welcome! Jaya Guru Datta. | 6.72 | true | 0 | 0.29 | -89.5 | 0.29 | -89.5 | 0.29 | -80.800003 | You are very welcome. Jaya Guru Datta. | 4.48 | true | 0 | 0.32 | -74.199997 | 0.32 | -74.199997 | 0.32 | -72.400002 | ||||||
welcome_short | You're welcome! | 2.08 | true | 0 | 0.97 | -43.700001 | 0.97 | -43.700001 | 0.98 | -40.200001 | You're welcome. | 0.96 | true | 0 | 0.21 | -89.699997 | 0.21 | -89.699997 | 0.21 | -83.300003 | ||||||
doingwell | I am doing well, thank you for asking! How can I help you? | 6.88 | true | 0 | 0.27 | -89.599998 | 0.27 | -89.599998 | 0.27 | -90 | I am doing well, thank you for asking. How can I help you? | 7.84 | true | 0 | 0.2 | -89.599998 | 0.2 | -89.599998 | 0.2 | -89.699997 | ||||||
glad | Glad you think so! | 2.72 | true | 0 | 0.28 | -89.900002 | 0.28 | -89.900002 | 0.28 | -76 | Glad you think so. | 1.6 | true | 0 | 0.29 | -89.400002 | 0.29 | -89.400002 | 0.29 | -74.400002 | ||||||
scope | I can only answer about Sri Ganapati Sachchidananda Swamiji, the Datta tradition and spirituality! | 11.36 | true | 0 | 1.25 | -48.700001 | 1.25 | -48.700001 | 1.25 | -48.599998 | I can only answer about Sri Ganapati Sachchidananda Swamiji, the Datta tradition and spirituality. | 12 | true | 0 | 0.29 | -89.900002 | 0.29 | -89.900002 | 0.29 | -82.800003 |
Where does the end-of-clip artifact come from?
Reported symptom: short polite replies "mess up at the end", and a "huge high" is audible after the words finish — sometimes even when the sentence ends in a full stop. Three candidate causes: the model, the streaming, or the Opus codec.
Each phrase here is generated twice — ending in ! and ending in . — and
each generation is rendered three ways, so exactly one variable moves at a
time. Six players per row.
| rendering | what it is | isolates |
|---|---|---|
*_direct |
the engine's PCM straight to WAV, nothing else touches it | the model |
*_streaming |
the same PCM rebuilt on the browser's scheduler using real chunk arrival times and the same 80 ms lead tts.js uses, so a late chunk leaves audible dead air |
stream timing |
*_opus |
direct encoded to Opus 48 kbps/48 kHz and decoded back — the codec LiveKit puts every agent reply through |
the transport |
The TTS tab sends raw PCM and never touches Opus; the Conversation tab is
Opus. So direct vs opus is exactly the difference between the two tabs.
Model: sw-voice/swamiji-voxcpm2-ft-src0-lr0.0001-10ep-deva (src0), cfg_value=1.5, inference_timesteps=10, non-fp16.
Verdict
1. Streaming is not the cause. Every generation came back
stream_identical = True with zero scheduler gaps. The engine runs
at RTF ~0.13, far ahead of realtime, so chunks always arrive before their slot.
2. Opus is not the cause either. It raises the noise floor in the trailing silence — worst tail peak -43.7 dBFS direct vs -40.2 dBFS through Opus — but that is a codec ring-out down at −70 to −80 dBFS. Real, and far too quiet to be a "huge high".
3. The model is the cause, and the trigger is an utterance-final !.
Mean trailing silence is 0.61 s on the ! arm against
0.26 s on the . arm. More tellingly, the loud transient only ever
appears in the ! arm, sitting inside that longer tail:
welcome_short/bang→ -43.7 dBFS in the trailing silencescope/bang→ -48.7 dBFS in the trailing silence
A transient at −44 dBFS after a second of silence is clearly audible. Their .
counterparts end at about −90 dBFS, i.e. true digital silence.
It is also intermittent, not deterministic: sampling is unseeded, and a !
phrase that is clean on one draw produces the artifact on another. That matches
! appearing in only 0.1% of the fine-tune's training labels — the model has
barely seen it and its behaviour there is unstable.
Note the pattern is specifically utterance-final. A ! in the middle
("You are very welcome! Jaya Guru Datta.") is harmless; the tail is clean.
Per-phrase detail
| phrase | text | trail (direct) | tail peak direct | tail peak opus |
|---|---|---|---|---|
welcome |
You are very welcome! Jaya Guru Datta. | 0.29 s | -89.5 | -80.8 |
welcome |
You are very welcome. Jaya Guru Datta. | 0.32 s | -74.2 | -72.4 |
welcome_short |
You're welcome! | 0.97 s | -43.7 | -40.2 |
welcome_short |
You're welcome. | 0.21 s | -89.7 | -83.3 |
doingwell |
I am doing well, thank you for asking! How can I hel | 0.27 s | -89.6 | -90.0 |
doingwell |
I am doing well, thank you for asking. How can I hel | 0.20 s | -89.6 | -89.7 |
glad |
Glad you think so! | 0.28 s | -89.9 | -76.0 |
glad |
Glad you think so. | 0.29 s | -89.4 | -74.4 |
scope |
I can only answer about Sri Ganapati Sachchidananda | 1.25 s | -48.7 | -48.6 |
scope |
I can only answer about Sri Ganapati Sachchidananda | 0.29 s | -89.9 | -82.8 |
The fix this implies
Do not chase the codec. Strip or replace utterance-final ! before synthesis —
the orchestrator writes these acks, so the cheapest correct fix is to normalise
terminal ! to . in the text that reaches TTS. Trimming trailing silence at the
engine output would also remove the transient, since it lives entirely inside the
tail.
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