The focus of the Audio Signal Processing Lab of the MTG is to advance in the understanding of sound and music signals by combining signal processing and machine learning methods with semantic technologies. We work both on data-driven methodologies, in which the development and use of large data collections is a fundamental aspect, and on knowledge-driven approaches, in which domain knowledge of the problem to be addressed is needed. Combining these research approaches, we are able to tackle practical problems related to music exploration and recommendation, classification of sounds, and music performance evaluation for music education.

Team

Xavier Serra, Faculty, Head of lab Minz Won PhD  student
Bariş Bozkurt, collaborator Andrés Ferraro, PhD student
Dmitry Bogdanov, Postdoc Alastair Porter, Researcher
Frederic Font, Postdoc     Błażej KotowskiResearcher
Rafael Caro RepettoPostdoc Pablo Alonso, Researcher
Jordi Pons PhD student  Albin Correya, Researcher
Xavier FavoryPhD student Vsevolod Eremenko, Researcher
Philip Tovstogan, PhD student Alia Morsi, Master student
António Ramires, PhD student Miguel Garcia, Master student
Eduardo Fonseca PhD  student Ninad Puranik, Master student

Research