Abstract: Research on machine listening is on the rise with the advancements of artificial intelligence and sound processing technologies, alongside the increasing collections of digital sound recordings and sound sensor data. Machine listening is a field encompassing research on a wide range of tasks and methods such as speech recognition, audio content recognition, audio-based search, content-based music analysis, signal processing and auditory modelling. This talk will present an overview of machine listening followed by discussions of several past projects on music and health informatics. An ongoing machine listening project on tyre-road sound interactions towards improving vehicle safety systems will also be discussed.

Biography: Shyamala Doraisamy is an Associate Professor at the Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM) and an Honorary Research Fellow at the School of Computer Science, College of Science, University of Lincoln, United Kingdom. She received her PhD from Imperial College London in 2004, specializing in the field of Music Information Retrieval and is a member of the Digital Information Computation and Retrieval research group at UPM. Her current research interests include Multimodal Machine Learning, Multimedia Information Processing, and Sound Analysis, and has completed several projects on music and health applications. She is currently UPM’s partner lead for two large-scale research collaborations under the European Union’s Horizon 2020 Marie Sklodowska-Curie Actions (MSCA) -RISE (Research and Innovation Staff Exchange) programme with University of Lincoln, UK as the consortium coordinator.