Speaker: Mathieu Fontaine
Date: September 27, 2018 at 10:30 – C005
Abstract:
The scientific topic of sound source separation (SSS) aims at decomposing audio signals into their constitutive components, e.g. separate the main signer voice from the background music or from the background noise. In the case of very old and degraded historical recordings, SSS strongly extends classical denoising methods by being able to account for complex signal or noise patterns and achieve efficient separation where traditional approaches fail.
Alpha-stable processes enjoy important mathematical challenges, efficient filtering applications and computational efficiency. This presentation targets at studying these models from a theoretical point of view, for the purpose of extending them in several directions: audio source localization, theoretical research in multichannel scenarios and restoring old historical recordings.
