This is a reproduction of the repository of the paper: Wang et al., Learning interpretable representation for controllable polyphonic music generation, ISMIR 2020 ...
081720: The repo contains selected files of the project. Files may be incomplete and some of the code is messy. Will improve in the future. And readme will contain more details.
Abstract: We propose a novel approach to extract audio features based on evolutionary approximation of instrumental texture in polyphonic audio recordings. A population of mixtures of samples from 51 ...
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