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. 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 automatic sound and music description, music exploration and recommendation, and tools for supporting music education.

Team

Xavier Serra, Faculty, Head of lab Minz Won, PhD student
Bariş Bozkurt, collaborator Andrés Ferraro, PhD student
Rafael Caro Repettocollaborator Pablo Zinemanas, PhD student
Frederic Font, Postdoc Jyoti Narang, PhD student
Dmitry Bogdanov, Postdoc Alastair Porter, Researcher
Marius Miron, Postdoc Pablo Alonso, Researcher
Eduardo Fonseca, PhD student Albin Correya, Researcher
Xavier Favory, PhD student Vsevolod Eremenko, Researcher
Philip Tovstogan, PhD student Alia Morsi, Master student
António Ramires, PhD student  

Research