RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
High "Extra inference time" value with realtime GUI leads to quieted/cutoff words
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- Python
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Description
I notice that if I set the extra inference time to a high value (most prominent at 5, but starts to appear above ~1.5) that the first words I speak will be extra quiet, if not cut out entirely. This only happens if there's a long pause between speaking (ex. waiting 7s between spoken words consistently reproduces it.) At a value of 1.5 or lower, this issue does not happen and there's no issues hearing the initial words i speak.
Is there any insight into what could be causing this? It happens across 32/40/48k models and various build parameters. @yxlllc sorry for the ping but you seem to engage with the realtime usage a lot, and i'm curious if you can reproduce this behavior.
Edit: For added context, I trim all silences out of my build audio, and have confirmed that others can reproduce this problem. Interestingly, it's the least pronounced on 32k models.
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Research direction
Start by reproducing the realtime GUI behavior with a high Extra inference time and long pauses between words, comparing the 32k, 40k, and 48k models. Trace the realtime audio buffering and inference path involved in that setting; done means initial words remain audible after long pauses and the behavior is covered by a regression check.
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Assessment
- Tech stack
- python
- Domain
- audio-video-rtc
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100