lucasnewman/vocos-mlx

Implementation of 'Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis', in MLX

40
/ 100
Emerging

This tool helps audio engineers and researchers generate high-quality audio from compressed representations. It takes either Mel spectrograms (a visual representation of sound frequencies over time) or EnCodec tokens (a type of audio compression data) as input and produces realistic, synthesized audio output. It's designed for anyone working with audio synthesis, voice generation, or audio restoration.

Used by 2 other packages. No commits in the last 6 months. Available on PyPI.

Use this if you need to convert abstract audio representations like Mel spectrograms or EnCodec tokens back into high-fidelity audio.

Not ideal if you are looking for a tool to perform audio recording, editing, or complex audio effects rather than synthesis.

audio-synthesis voice-generation audio-research audio-engineering sound-design
Stale 6m
Maintenance 0 / 25
Adoption 8 / 25
Maturity 25 / 25
Community 7 / 25

How are scores calculated?

Stars

24

Forks

2

Language

Python

License

MIT

Last pushed

Oct 30, 2024

Commits (30d)

0

Dependencies

4

Reverse dependents

2

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