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  
Dmitry Bogdanov, Senior researcher Andrés Ferraro, PhD student
Frederic Font, Senior researcher António Ramires, PhD student
Marius Miron, Senior researcher Philip Tovstogan, PhD student
Alastair Porter, Research engineer Pablo Zinemanas, PhD student
Vsevolod Eremenko, Research engineer Jyoti Narang, PhD student
Jorge Marcos, Research engineer Pablo Alonso, PhD student
Xavier Lizarraga, Research engineer Alia Morsi, PhD student
Thomas Nuttall, Research engineer Hyon Kim, PhD student
Rafael Caro Repettocollaborator Nazif Can Tamer, PhD student
Bariş Bozkurt, collaborator Benno Weck, PhD student
Albin Correya, collaborator Miguel Perez, PhD student
Xavier Favory, PhD student Guillem Cortès, PhD student
Minz Won, PhD student Genís Plaja, Master student
Eduardo Fonseca, PhD student Pedro Ramoneda, Master student

Research