Making Sense of Sounds Seminar
- Time:
- 16:00
- Date:
- 11 October 2016
- Venue:
- 13/3017
Event details
Insitute of Sound and Vibration research seminar
Sound and music surround us all the time. Often we hear all this without really noticing: it just forms part of the background to our lives. The human ability to listen to sounds is something that is very hard for computers; but we are now beginning to build sound processing methods that can help us. In this talk I will discuss some of these techniques that can separate out different sound sources from a mixture, follow the notes and the beats in a piece of music, or recognize different types of real-world sounds. These "machine listening" algorithms offer the potential to make sense of the huge amount of sound in our digital world, bringing benefits to areas such as health, security, creative industries and the environment.
Speaker information
Mark Plumbley, University of Surrey. Mark Plumbley is Professor of Signal Processing at the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, in Guildford, UK. After receiving his Ph.D. degree in neural networks in 1991, he became a Lecturer at King's College London, before moving to Queen Mary University of London in 2002. He subsequently became Professor and Director of the Centre for Digital Music, before joining the University of Surrey in 2015. He is known for his work on analysis and processing of audio and music, using a wide range of signal processing techniques, including independent component analysis, sparse representations, and deep learning. He has also a keen to promote the importance of research software and data in audio and music research, including training researchers to follow the principles of reproducible research, and he led the 2013 data challenge on Detection and Classification of Acoustic Scenes and Events (D-CASE). He currently leads two EU-funded research training networks in sparse representations, compressed sensing and machine sensing, and EPSRC-funded projects on audio source separation and on making sense of everyday sounds. He is a Fellow of the IET and IEEE.