Vocal interactivity in-and-between humans, animals and robots
Thursday 29 Aug 2019 - Friday 30 Aug 2019
Time: 09:00 - 17:00
Bio
Dr Emmanouil Benetos is Reader in Machine Listening and Director of Research at the School of Electronic Engineering and Computer Science of Queen Mary University of London (QMUL). At QMUL, he is member of the Centre for Digital Music, Centre for Intelligent Sensing, and Digital Environment Research Institute, and he is co-leading the School's Machine Listening Lab.
His main research topic is computational audio analysis, also referred to as machine listening or computer audition - applied to music, urban, everyday and nature sounds. He has been Royal Academy of Engineering / Leverhulme Trust Research Fellow in resource-efficient machine listening, Turing Fellow at the Alan Turing Institute, Royal Academy of Engineering Research Fellow, and has been principal- and co-investigator for several funded research projects in the intersection of machine learning and audio. He is also Deputy Director for the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM).
Research interests
Dr Benetos' research at The Alan Turing Institute focuses on audio data science, specifically towards advancing research on models, algorithms and practices for making sense of complex audio data in real-world multi-source environments. At the Turing he is member of the Turing Skills Group and the Humanities and Data Science and Robust Machine Learning special interest groups. His research covers two application domains: sound monitoring in urban & domestic environments and automatic analysis of music audio recordings in noisy environments. A major part of his Turing Fellowship will focus on shaping standards and policy for privacy-preserving audio analysis methods and on identifying ethical issues and implications related to access and (re-)use of audio data.