Implementation of <ahref="https://google-research.github.io/seanet/audiolm/examples/">AudioLM</a>, a Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
It also extends the work for conditioning with classifier free guidance with T5. This allows for one to do text-to-audio or TTS, not offered in the paper.
It also extends the work for conditioning with classifier free guidance with T5. This allows for one to do text-to-audio or TTS, not offered in the paper. Yes, this means <ahref="https://valle-demo.github.io/">VALL-E</a> can be trained from this repository. It is essentially the same.
Please join <ahref="https://discord.gg/xBPBXfcFHd"><imgalt="Join us on Discord"src="https://img.shields.io/discord/823813159592001537?color=5865F2&logo=discord&logoColor=white"></a> if you are interested in replicating this work in the open