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%0 Generic
%A Cauchi, Benjamin
%T Non-Negative Matrix Factorization Applied to Auditory Scenes Classification
%D 2011
%I UPMC
%F Cauchi11a
%K auditory scene analysis
%K sparseness
%K nonnegative matrix factorization
%X This master’s thesis is dedicated to the automatic classification of auditory scene using non-negative matrix factorization. A particular attention is paid to the performances achieved by the non-negative matrix factorization in sound sources detection. Our intuition was that a good classification could be achieve if we could efficiently detect the sources within auditory scenes. It appears on short artificial examples that taking into account the non-stationarity of the spectral content of the sound sources improves the source detection. Finally, our classification method is applied to a corpus of soundscapes of train stations and the results are compared with previous classifications methods. We finally conclude that using non-negative matrix factorization significantly improves the classification.
%1 8
%2 1
%U http://articles.ircam.fr/textes/Cauchi11a/