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.

Functional Description: Combines deep neural networks and multichannel signal processing for speech enhancement and separation of musical recordings.

News Of The Year: Version 1.1 was slightly modified in order to issue a test license to the French Ministry of Interior.

• Participants: Aditya Nugraha, Emmanuel Vincent and Antoine Liutkus

• Contact: Emmanuel Vincent