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147
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CSL
2010
Springer
15 years 4 months ago
A computational auditory scene analysis system for speech segregation and robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of multiple sound sources, while human listeners are able to segregate and recognize a signal of i...
Yang Shao, Soundararajan Srinivasan, Zhaozhang Jin...
INTERSPEECH
2010
14 years 10 months ago
Convexity and fast speech extraction by split bregman method
A fast speech extraction (FSE) method is presented using convex optimization made possible by pause detection of the speech sources. Sparse unmixing filters are sought by l1 regul...
Meng Yu, Wenye Ma, Jack Xin, Stanley Osher
343
Voted
ICA
2012
Springer
13 years 11 months ago
Online PLCA for Real-Time Semi-supervised Source Separation
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis
143
Voted
ICA
2007
Springer
15 years 10 months ago
Two Improved Sparse Decomposition Methods for Blind Source Separation
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
SP
2002
IEEE
114views Security Privacy» more  SP 2002»
15 years 3 months ago
HMM-based techniques for speech segments extraction
The goal of the speech segments extraction process is to separate acoustic events of interest (the speech segment to be recognised) in a continuously recorded signal from other par...
Waleed H. Abdulla