Inference audio generated at higher speed than training files

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
25/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
python

Research direction

No files, tests, or entry points are named. Start by tracing how training audio timing and inference output timing are handled, then compare their sample-rate or duration assumptions. Done means inference audio plays at the same speed as the training files without changing the correct pitch or phonemes.

Written by the indexing model from the issue text.

Description

Finally, after a lot of labor, I got a decent English singer out of the model, which is great. But the audio generated during inference consistently plays back about 1.3 times faster than the training data fed in. The pitch and the phonemes are correct, but everything's sped up. Any idea why that would be the case? Thank you.

Dominant language
Python
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