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
- Domain
- machine-learning
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
- Stars
- 4.9k
- Forks
- 826
- PR merge metrics
- No merged PRs in 30d
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