SCORE INFORMED AUDIO SOURCE SEPARATION USING A PARAMETRIC MODEL OF NON-NEGATIVE SPECTROGRAM
Music Signal Processing
Přednášející: Romain Hennequin, Autoři: Romain Hennequin, Bertrand David, Roland Badeau, Institut TELECOM / TELECOM ParisTech, France
In this paper we present a new technique for monaural source separation in musical mixtures, which uses the knowledge of the musical score. This information is used to initialize an algorithm which computes a parametric decomposition of the spectrogram based on non-negative matrix factorization (NMF). This algorithm provides time-frequency masks which are used to separate the sources with Wiener filtering.
Informace o přednášce
Nahráno: | 2011-05-24 15:25 - 15:45, Club H |
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Přidáno: | 9. 6. 2011 00:19 |
Počet zhlédnutí: | 23 |
Rozlišení videa: | 1024x576 px, 512x288 px |
Délka videa: | 0:23:49 |
Audio stopa: | MP3 [8.15 MB], 0:23:49 |
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