Paper Info
Title
A speedup method for the separation of speech signals in frequency domain
Abstract
The independent component analysis (ICA) is a commonly used method to find the demixing matrix for the blind source separation (BSS). For speech signals, we should solve BSS problems in the convolutive mixing model, i.e., ICA technique is extended to the frequency domain. The cross-spectral density matrices are computed for each frequency bin instead of covariance matrices in time domain. The joint approximate diagonalization (JADIAG) algorithm proposed by D. T. Pham has been proved to be effective in dealing with the convolutive mixing problem. This paper presents a method to speed up the JADIAG computation in two phases. First, the critical band property of human auditory system is applied so that a set of selected demixing matrices is shared in a critical band to reduce the number of demixing matrices. Second, an efficient estimation of transformation matrix is proposed so that the iterations for finding the demixing matrices in JADIAG algorithm are reduced. The experiment shows that about 71% of computation time can be reduced.
Year
DOI
Venue
2010
10.1109/ISCSLP.2010.5684892
ISCSLP
Keywords
Field
DocType
speech processing,independent component analysis (ica),blind source separation (bss),matrix algebra,speech signal separation,convolutive mixing model,cross-spectral density matrix,independent component analysis,joint approximate diagonalization,speedup method,jadiag,blind source separation,frequency domain,joint approximate diagonalization (jadiag),cross spectral density matrices,bss,ica,demixing matrix,speech,approximation algorithms,covariance matrix,spectral density,frequency domain analysis,mixed model,time domain
Frequency domain,Time domain,Pattern recognition,Computer science,Matrix (mathematics),Speech recognition,Independent component analysis,Artificial intelligence,Covariance matrix,Transformation matrix,Blind signal separation,Source separation
Conference
ISBN
Citations 
PageRank 
978-1-4244-6244-5
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Shih-Hsun Chen100.68
Hsiao-Chuan Wang237064.93