A new method for solving the permutation problem of frequency-domain blind source separation

被引:0
作者
Hu, XB [1 ]
Kobatake, H [1 ]
机构
[1] Tokyo Univ Agr & Technol, Grad Sch Bioapplicat & Syst Engn, Koganei, Tokyo 1848588, Japan
关键词
blind source separation; ICA; permutation; inter-frequency similarity;
D O I
10.1093/ietfec/e88-a.6.1543
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Frequency domain blind source separation has the great advantage that the complicated convolution in time domain becomes multiple efficient multiplications in frequency domain. However, the inherent ambiguity of permutation of ICA becomes an important problem that the separated signals at different frequencies may be permuted in order. Mapping the separated signal at each frequency to a target source remains to be a difficult problem. In this paper, we first discuss the inter-frequency correlation based method [1], and propose a new method using the continuity in power between adjacent frequency components of same source. The proposed method also implicitly utilizes the information of inter-frequency correlation. as such has better performance than the previous method.
引用
收藏
页码:1543 / 1548
页数:6
相关论文
共 8 条
  • [1] Asano F., 2000, P ICA2000 JUN, P57
  • [2] AN INFORMATION MAXIMIZATION APPROACH TO BLIND SEPARATION AND BLIND DECONVOLUTION
    BELL, AJ
    SEJNOWSKI, TJ
    [J]. NEURAL COMPUTATION, 1995, 7 (06) : 1129 - 1159
  • [3] HU X, 2003, P INT WORKSH IND COM, P597
  • [4] HU XB, 2003, P INT C AC SPEECH SI, V5, P281
  • [5] Ikeda S, 1998, ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, P737
  • [6] Kurita S, 2000, INT CONF ACOUST SPEE, P3140, DOI 10.1109/ICASSP.2000.861203
  • [7] Sawada H., 2003, IEEE T SPEECH AUDI P, P505
  • [8] Torkkola K., 1999, P WORKSH IND AN BLIN, P11