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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 silence
  • scope / 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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