I am currently Reader in Machine Listening at the School of Electronic Engineering and Computer Science of Queen Mary University of London, Royal Academy of Engineering / Leverhulme Trust Research Fellow in resource-efficient machine listening, and Turing Fellow at The Alan Turing Institute. Within Queen Mary, I am member of the Centre for Digital Music, Centre for Multimodal AI, Centre for Intelligent Sensing, and Digital Environment Research Institute, and I co-lead the School's Machine Listening Lab.

My main research topic is computational audio analysis, also referred to as machine listening or computer audition - applied to music, urban, everyday and nature sounds. Between 2015-2020 I was Royal Academy of Engineering Research Fellow and have been principal- and co-investigator for several audio-related funded research projects on topics related to sound scene analysis, music information retrieval, and digital musicology. I am also Deputy Director for the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM).

On academic service, I am currently secretary for the International Society for Music Information Retrieval (ISMIR), member of the IEEE Technical Committee on Audio and Acoustic Signal Processing (AASP TC), member of the EURASIP Acoustic, Speech and Music Signal Processing Technical Area Committee (ASMSP TAC), associate editor for the IEEE/ACM Transactions on Audio, Speech, and Language Processing, and associate editor for the EURASIP Journal on Audio, Speech, and Music Processing. On university service, I am currently Director of Research for the School of EECS of Queen Mary.


School of Electronic Engineering and Computer Science
Queen Mary University of London
London E1 4NS
Office: Room Eng403, Engineering Building
tel: +44 (0) 20 7882 6206
emmanouil.benetos at

ORCID ID: 0000-0002-6820-6764