Karn N. Watcharasupat

Audio source separation is the task of extracting one or more constituent components, or composites thereof, from their mixture. Creatively produced audio signals, such as music and cinematic audio, present a unique challenge for source separation algorithms due to the sheer diversity of potential sound sources within a particular mixture. However, most state-of-the-art deep learning systems for source separation have often been either a collection of single-source separators or a tightly coupled system that cannot be easily adapted to support additional or unseen sound sources. In this webinar, we will present our series of works on psychoacoustically-motivated subband source separation for music and cinematic audio, working towards a more flexible, extensible, and controllable source separation system that can still maintain the high fidelity requirements demanded by creative audio practices.