1.0.3 VAD v5 is much worse than 1.0.2 VAD v4

[zx3777]

silero-vad

Large portions of the speech are missing.

Some files have subtitles files of 10kb using version 1.0.2, while only less than 1kb using version 1.0.3.

This video file
https://www.youtube.com/watch?v=tVLOBfzbJV8
resulted in 320 lines of subtitles using version 1.0.2, but only 218 lines using version 1.0.3. Many conversations were not recognized in version 1.0.3.

I only compared Korean, other languages ​​have not been tested yet.

[zx3777]

This is the audio file for the video above.
https://mega.nz/file/QacS2LCJ#x_Gq9GgV8aPk2qRVskfzNBuyM9XAI-Pv2SBIwxfomnk

[x86Gr]

I agree, I also have worse performance, just not as much, however the overall WER for non english speech is going down. Go back to silero or at least let us choose the VAD model

[zx3777]

I agree, I also have worse performance, just not as much, however the . Go back to silero or at least let us choose the VAD model

Version 1.0.3 release still uses silero, but with an upgraded version.
WER going down maybe because the VAD only identifies sufficiently clear speech.

[MahmoudAshraf97]

@zx3777 that will cause higher WER, a missing word is still an error to count
You should try playing with the vad settings and see how it makes a difference, the model was changed but the parameters are still tuned for the previous one

[zx3777]

@zx3777 that will cause higher WER, a missing word is still an error to count You should try playing with the vad settings and see how it makes a difference, the model was changed but the parameters are still tuned for the previous one

Useless

I tried --vad_threshold 0.4 0.3 0.2 in 1.0.3, and there was a slight improvement, but the recognized subtitles are still much less than in 1.0.2.

[hoonlight]

Hi, could you try again with the master branch and let me know the results?

[x86Gr]

I will run the tests on our audio corporas, with different parameters, but it won't be quick

[zx3777]

Hi, could you try again with the master branch and let me know the results?

I tested the master branch version before the upgrade to [New PR for Faster Whisper: Batching Support, Speed Boosts, and Quality Enhancements], and the results were the same.

In my opinion, after the new PR, only the batched version uses a different VAD implementation. The normal version still uses the VAD from 1.03, so the results should be the same.

[hoonlight]

Thanks for the test @zx3777 , I suspect this is a issue with the model itself.
There hasn't been enough quantitative evaluation of the silero-vad v5, but at least we can make it possible for users to choose silero-vad v4 instead of silero-vad v5 based on their needs.

I'll open a PR after the issues related to this discussion are well finalized.

[MahmoudAshraf97]

Thanks for the test @zx3777 , I suspect this is a issue with the model itself. There hasn't been enough quantitative evaluation of the silero-vad v5, but at least we can make it possible for users to choose silero-vad v4 instead of silero-vad v5 based on their needs.

I'll open a PR after the issues related to this discussion are well finalized.

I already wrote the code, but waiting for #936 to be merged so we can discuss having both or just reverting to V4

[George0828Zhang]

Just chiming in and adding a case where old (not sure if it's v3 or v4) version outperforms v5:
https://drive.google.com/file/d/1NPvEybP0VU1dFmd6neH6JJRW_Qm2MXdk/view?usp=sharing

code:

from pprint import pprint
from faster_whisper.audio import decode_audio
from faster_whisper.vad import VadOptions, get_speech_timestamps

speech_chunks = get_speech_timestamps(decode_audio('ja_example.wav'))
pprint(speech_chunks)

old:

[{'end': 40192, 'start': 12032},
 {'end': 179456, 'start': 76544},
 {'end': 379136, 'start': 273152},
 {'end': 457984, 'start': 422656},
 {'end': 630016, 'start': 576256},
 {'end': 669952, 'start': 653056},
 {'end': 863488, 'start': 695040},
 {'end': 950528, 'start': 896768}]

v5:

[{'end': 30464, 'start': 12032}]

Apparently cartoony voices are ignored in v5.