Section: New Software and Platforms

dnnsep

Multichannel audio source separation with deep neural networks

Keywords: Audio - Source Separation - Deep learning

Scientific Description

dnnsep is the only source separation software relying on multichannel Wiener filtering based on deep learning. Deep neural networks are used to initialize and reestimate the power spectrum of the sources at every iteration of an expectation-maximization (EM) algorithm. This results in state-of-the-art separation quality for both speech and music.

Functional Description

dnnsep is a new software that combines deep neural networks and multichannel signal processing for speech enhancement and separation of musical recordings.

• Participants: Aditya Nugraha, Antoine Liutkus and Emmanuel Vincent

• Contact: Emmanuel Vincent