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
fDate :
6/30/1905 12:00:00 AM
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2002927