muzic

Why we included this project

Muzic collects more than a dozen research systems from Microsoft Research Asia and outside collaborators into one codebase, so it is a rare single place to see how modern music AI is actually built. On the analysis side you get symbolic music understanding with MusicBERT and contrastive language-music pre-training with CLaMP, while the generation half covers lyric-to-melody models like TeleMelody and ReLyMe, multi-track and accompaniment generators such as PopMAG and GETMusic, text-to-music composition with MuseCoco, and the HiFiSinger singing voice synthesizer. Every subproject lives in its own folder with a README plus training and inference code, so you can grab just the component you need instead of digging through one large monolith. That modular layout suits researchers and engineers who want reproducible baselines or reusable pieces for their own music AI work. Expect to handle data preprocessing and CUDA setup yourself, because this is a research codebase first, but the breadth of covered tasks is hard to match in one place.