DocumentCode :
2271529
Title :
Blind Criterion and Oracle Bound for Instantaneous Audio Source Separation using Adaptive Time-Frequency Representations
Author :
Vincent, Emmanuel ; Gribonval, Rémi
Author_Institution :
METISS group, IRISA-INRIA, Campus de Beaulieu, 35042 Rennes Cedex, France. emmanuel.vincent@irisa.fr
fYear :
2007
fDate :
21-24 Oct. 2007
Firstpage :
110
Lastpage :
113
Abstract :
The separation of multichannel audio mixtures is often addressed by the masking approach, which consists of representing the mixture signal in the time-frequency domain and associating each time-frequency bin with a small number of active sources. Adaptive time-frequency representations can increase the disjointness of the sources compared to fixed representations. However their use has not been conclusive so far. In this paper, we propose a new criterion for the blind estimation of an adapted representation of an instantaneous mixture and explain how to compute the oracle representation leading to the best possible performance given reference source signals. Experimental results suggest that a small separation performance improvement can indeed be achieved using adaptive representations, but that complementary approaches must be investigated to obtain larger improvements.
Keywords :
Acoustic applications; Acoustic signal processing; Adaptive signal processing; Blind source separation; Conferences; Filtering; Signal processing; Source separation; Statistics; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop on
Conference_Location :
New Paltz, NY, USA
Print_ISBN :
978-1-4244-1620-2
Electronic_ISBN :
978-1-4244-1619-6
Type :
conf
DOI :
10.1109/ASPAA.2007.4392974
Filename :
4392974
Link To Document :
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