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» Lattice ICA for the separation of speech signals
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ICA
2010
Springer
13 years 6 months ago
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation
Abstract. This paper introduces the audio part of the 2010 communitybased Signal Separation Evaluation Campaign (SiSEC2010). Seven speech and music datasets were contributed, which...
Shoko Araki, Alexey Ozerov, Vikrham Gowreesunker, ...
ICA
2004
Springer
13 years 11 months ago
Frequency Domain Blind Source Separation for Many Speech Signals
This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential sou...
Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Maki...
ICASSP
2009
IEEE
14 years 1 months ago
A multistage approach for blind separation of convolutive speech mixtures
In this paper, we propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang
ICASSP
2008
IEEE
14 years 26 days ago
Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources
Independent component analysis (ICA) for convolutive mixtures is often applied in the frequency domain due to the desirable decoupling into independent instantaneous mixtures per ...
Graham W. Taylor, Michael L. Seltzer, Alex Acero
ICA
2007
Springer
14 years 17 days ago
First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results
This article provides an overview of the first stereo audio source separation evaluation campaign, organized by the authors. Fifteen underdetermined stereo source separation algor...
Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoj...