rishikksh20/SoundStorm-pytorch
Google's SoundStorm: Efficient Parallel Audio Generation
This project helps generate high-quality audio from abstract sound descriptions, quickly and in parallel. It takes 'semantic tokens' (a compact representation of sound from systems like AudioLM) and transforms them into detailed, audible sound. This is useful for researchers and creators working on advanced audio synthesis, text-to-speech, or music generation.
131 stars. No commits in the last 6 months.
Use this if you need to efficiently convert high-level audio descriptions into concrete, detailed audio waveforms.
Not ideal if you're looking for a simple tool to record, edit, or mix existing audio files.
Stars
131
Forks
13
Language
Python
License
MIT
Category
Last pushed
Aug 08, 2023
Commits (30d)
0
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