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 sound scene analysis for environmental audio.

On research projects, in addition to the RAEng Research Fellowship I am currently PI for a RAEng/Newton Fund collaborative project on singing transcription and was Co-I for the "Polyphoni-X-score" industry project and 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 was co-organiser for the DCASE 2013 and DCASE 2016 public evaluation challenges, both addressing the problem of sound scene analysis.


School of Electronic Engineering and Computer Science
Queen Mary University of London
Office: Room 109, Engineering Building
Tel: +44 (0)20 7882 3066
e-mail: emmanouil.benetos at
ORCID ID: 0000-0002-6820-6764