daniilrobnikov/vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 4 / 25

Maturity 9 / 25

Community 15 / 25

Stars

Forks

Language

Jupyter Notebook

License

MIT

Category

Last pushed

Jul 29, 2023

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/daniilrobnikov/vits"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

voicepaw/so-vits-svc-fork

so-vits-svc fork with realtime support, improved interface and more features.

sarulab-speech/UTMOSv2

UTokyo-SaruLab MOS Prediction System

ssmall256/mlx-spectro

High-performance STFT/iSTFT for Apple MLX with fused Metal kernels and autograd support

ssmall256/mlx-audio-io

Native audio I/O for MLX on macOS and Linux

MWM-io/SpecTNT-pytorch

Unofficial implementation of SpecTNT in pytorch