I am currently Royal Academy of Engineering Research Fellow and Lecturer at the Centre for Digital Music and Machine Listening Lab of Queen Mary University of London and Honorary Visiting Fellow at the Department of Computer Science, City University London. My main research topic is audio and music signal analysis, applied to music information retrieval and computational musicology, as well as acoustic scene analysis for environmental audio.

On research projects, I am currently co-investigator for the "Polyphoni-X-score" project funded by DoReMIR Music Research AB and was Co-I for the AHRC-funded DML and ASyMMuS projects. In 2013-2015, I was University Research Fellow at the Music Informatics Research Group and Research Centre for Machine Learning at City University London. I did my PhD at the Centre for Digital Music, Queen Mary University of London; my thesis topic was on automatic music transcription, the process of converting an audio recording into symbolic notation. I have also worked in the past on other areas of music and speech signal processing, including onset detection, music genre recognition, dialogue detection, and musical instrument identification. I am currently co-organising the IEEE Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) 2016.


School of Electronic Engineering and Computer Science
Queen Mary University of London
Office: Room 109, Engineering Building
Tel: +44 (0)20 7882 7986
e-mail: emmanouil.benetos at
ORCID ID: 0000-0002-6820-6764