unilight / seq2seq-vc
A sequence-to-sequence voice conversion toolkit.
Why this job: matched by what the repo talks about: voice, conversion, toolkit
What it does
Sequence-to-sequence (seq2seq) modeling is especially attractive to voice conversion (VC) owing to their ability to convert prosody. In particular, this repository aim to reproduce the results of the following papers/models.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 114
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 66% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 4 still open
- Pull requests
- 1 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 66%
- Python 24%
- Shell 8%
- Perl 2%
Topics
- sequence-to-sequence
- text-to-speech
- voice-conversion
Project record
- JobSpeech and audio
- StatusListed
- Commits39
- Forks15
- Watching5
- Stars in 28 days+1
- CreatedOct 18, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026