Details on TTS evaluation?
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- Dominant language
- Python
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Description
Hello! Thanks for your wonderful work. Trying to reproduce your results on the TTS task, I'm wondering if you could provide more details about the evaluation of the TTS task, especially:
- How many / Which samples are used in VCTK dataset
- Which ASR model is used to convert the generated speech into text
- How the WER is calculated; What kind of text normalization is applied before the calculation
Thanks!
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Research direction
No files or tests are named. Start by locating the TTS evaluation entry point and VCTK sample selection, then identify the ASR model and WER text normalization used. Done means documenting these details well enough to reproduce the reported results.
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Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100