Rongjiehuang/Multiband-WaveRNN

An unofficial implement of autoregressive vocoder Multiband-WaveRNN. Audio samples in https://rongjiehuang.github.io/Multiband-WaveRNN/

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This project helps developers and researchers working on speech synthesis to generate high-quality audio from speech models. You provide an existing dataset of spoken audio, and it generates synthetic speech samples. It's intended for those who need to experiment with and implement autoregressive vocoder models.

No commits in the last 6 months.

Use this if you are a developer or researcher looking to implement and train an autoregressive vocoder model for speech generation.

Not ideal if you need a user-friendly, out-of-the-box solution for text-to-speech without coding or model training.

speech-synthesis audio-generation vocoder-development text-to-speech-research machine-learning-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

28

Forks

5

Language

Python

License

MIT

Last pushed

Feb 12, 2021

Commits (30d)

0

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