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Home Activities Seminar Series Roland Badeau: Adaptive high resolution methods and enhanced NMF models applied to music signal processing

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Roland Badeau: Adaptive high resolution methods and enhanced NMF models applied to music signal processing

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  • Seminar
When Oct 01, 2015
from 04:30 PM to 05:30 PM
Where A832, Elizabeth Wirth Music Building, 527 Sherbrooke St. West.
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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 fast 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 non-stationary signals, or accurately model phases and statistical correlations in a time-frequency representation. Those enhanced NMF models are applied to music transcription, source separation, and audio inpainting.



Dr. Roland Badeau works as an Associate Professor in the Signal and Image Processing Department, Télécom ParisTech, CNRS LTCI, France. 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 over 20 journal papers, over 60 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.


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