DocumentCode
885008
Title
Improving Isolation of Blindly Separated Sources Using Time-Frequency Masking
Author
Cobos, Maximo ; Lopez, Jose J.
Author_Institution
Inst. for Telecommun. & Multimedia Applic., Tech. Univ. of Valencia, Valencia
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
617
Lastpage
620
Abstract
A refinement technique based on time-frequency masking is proposed to improve source isolation in blind audio source separation algorithms. The refinement technique uses an energy-normalized source-to-interference ratio in order to identify and eliminate interfering energy from the extracted sources. Some examples using this refinement method with different separation algorithms are discussed. The results show that source isolation can be significantly enhanced with negligible degradation of the separated sources.
Keywords
audio signal processing; blind source separation; blind audio source separation algorithms; energy-normalized source-to-interference ratio; source isolation; time-frequency masking; Associate members; Degradation; Image sensors; Independent component analysis; Mathematical model; Multiple signal classification; Signal processing; Signal processing algorithms; Source separation; Time frequency analysis; Audio source separation; time-frequency masking;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2008.2002927
Filename
4639582
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