Our ISMIR 2019 tutorial on ‘Waveform-based music processing with deep learning’ got accepted! We will teach about music generation (Sander Dieleman), music classification (Jongpil Lee), and music source separation (myself)!
Abstract — A common practice when processing music signals with
In this tutorial, we introduce three main research areas where waveform-based music processing can have a substantial impact:
- Music classification (
teachedby Sander Dieleman): waveform-based music classifiers have the potential to simplify production and research pipelines.
- Music source separation (taught by Jordi Pons): making possible waveform-based music source separation would allow overcoming some historical challenges associated with discarding the phase.
- Music generation (taught by Jongpil Lee): waveform-level music generation would enable, e.g., to directly synthesize expressive music.