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» A General Modular Framework for Audio Source Separation
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ICA
2010
Springer
13 years 5 months ago
A General Modular Framework for Audio Source Separation
Most of audio source separation methods are developed for a particular scenario characterized by the number of sources and channels and the characteristics of the sources and the m...
Alexey Ozerov, Emmanuel Vincent, Fréd&eacut...
ICASSP
2009
IEEE
13 years 11 months ago
Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation
We have implemented several fast and flexible adaptive lapped orthogonal transform (LOT) schemes for underdetermined audio source separation. This is generally addressed by time-...
Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
ICASSP
2011
IEEE
12 years 8 months ago
OpenBliSSART: Design and evaluation of a research toolkit for Blind Source Separation in Audio Recognition Tasks
We describe and evaluate our toolkit openBliSSART (open-source Blind Source Separation for Audio Recognition Tasks), which is the C++ framework and toolbox that we have successful...
Felix Weninger, Alexander Lehmann, Björn Schu...
IDA
2009
Springer
13 years 11 months ago
Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation
Abstract. We apply sparse, fast and flexible adaptive lapped orthogonal transforms to underdetermined audio source separation using the time-frequency masking framework. This norm...
Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
TASLP
2010
157views more  TASLP 2010»
12 years 11 months ago
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation
Abstract--We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of sourc...
Alexey Ozerov, Cédric Févotte