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» Audio source separation by basis function adaptation
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ICASSP
2011
IEEE
12 years 8 months ago
Audio source separation by basis function adaptation
The problem of audio source separation from a monophonic sound mixture having known instrument types but unknown timbres is presented. An improvement to the Probabilistic Latent C...
Yinyi Guo, Mofei Zhu
IJON
2008
158views more  IJON 2008»
13 years 5 months ago
An adaptive stereo basis method for convolutive blind audio source separation
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
Maria G. Jafari, Emmanuel Vincent, Samer A. Abdall...
ICASSP
2011
IEEE
12 years 8 months ago
Clustering NMF basis functions using Shifted NMF for monaural sound source separation
Non-negative Matrix Factorization (NMF) has found use in single channel separation of audio signals, as it gives a parts-based decomposition of audio spectrograms where the parts ...
Rajesh Jaiswal, Derry Fitzgerald, Dan Barry, Eugen...
TASLP
2011
13 years 13 hour ago
Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space
—Time-domain algorithms for blind separation of audio sources can be classified as being based either on a partial or complete decomposition of an observation space. The decompo...
Zbynek Koldovský, Petr Tichavský
ICASSP
2011
IEEE
12 years 8 months ago
Adaptation of source-specific dictionaries in Non-Negative Matrix Factorization for source separation
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
Xabier Jaureguiberry, Pierre Leveau, Simon Maller,...