On Wednesday, 13th February, Roland Badeau will present the seminar 'High resolution spectral analysis, and nonnegative decompositions applied to music signal processing'.
Please note that the talk will take place at 15:00 in room 2.09, Engineering Building, Queen Mary University of London, Mile End Road, London E1 4NS.
Information on how to access the school can be found at http://www.eecs.qmul.ac.uk/contact-us. If you are coming from outside Queen Mary, please let me know, so that I can provide detailed directions and make sure no-one is stuck outside the doors. If you wish to be added to / removed from our mailing list as an individual recipient, please send me an email and I'll be happy to do so.
Wednesday's seminar (13th February, 15:00pm):
This talk will present two classes of low-rank matrix approximation methods and their applications to music signals. The first part of the talk will be devoted to subspace-based high resolution (HR) methods, which aim to estimate close frequencies in a mixture of sinusoidal signals. The presentation will focus on new adaptive algorithms, which permit to deal with non-stationary signals in a computationally efficient way, with some applications to music signals (sinusoids/noise separation, beat estimation, audio coding). The second part of the talk will be devoted to nonnegative matrix factorization (NMF), which has proven successful in decomposing musical spectrograms into meaningful elements. The presentation will introduce some improvements to NMF, which permit to better represent harmonic spectra and deal with non-stationarities, with applications to automatic music transcription and source separation.
Dr. Roland Badeau works as an Associate Professor in the Signal and Image Processing Department, Télécom ParisTech / CNRS LTCI, France, and from February 4 to August 2, 2013, he is visiting the Centre for Digital Music, Queen Mary, University of London. He received the Ph.D. degree from Telecom ParisTech in 2005, and the Habilitation degree from the Université Pierre et Marie Curie (UPMC) in 2010. His research interests focus on statistical modelling of non-stationary signals (including adaptive high resolution spectral analysis and Bayesian extensions to NMF), with applications to audio and music (source separation, multipitch estimation, automatic music transcription, audio coding, audio inpainting). He is a co-author of 19 journal papers, 50 international conference papers, and 2 patents. He teaches in the Master of Engineering of Télécom ParisTech and in the Master of Sciences and Technologies of UPMC. He is also a Senior Member of the IEEE, and an Associate Editor of the EURASIP Journal on Audio, Speech, and Music Processing.
Future C4DM seminars:
Nick Collins, University of Sussex
Wed 13th March 2013