JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (4): 19-22.

• Articles • Previous Articles     Next Articles

Speech signal representation and feature extraction based on ICA

DONG Zhi-qiang1, LIU Ju1, ZOU Xin2, DU Jun1   

  1. 1. School of Information Science and Engineering, Shandong University, Jinan 250100, China;
    2. School of Electronic, Electrical and Computer Engineering, University of Birmingham, Birmingham B152tt, UK
  • Received:2009-11-16 Online:2010-08-16 Published:2009-11-16

PDF (PC)

2308

Abstract:

A mathematical derivation was presented to demonstrate the effectiveness of the independent component analysis (ICA) based on signal representation for non-Gaussian speech extraction when corrupted by Gaussian noises. In experiments, the features based on ICA were applied to the speaker identification task. Experimental results showed that the performance of  features based on ICA could get obvious improvements compared with the traditional mel-frequency cepstral coefficients (MFCC) features obtained by discrete cosine transform (DCT).

Key words: independent component analysis, speech feature extraction, speaker identification

[1] YANG Yawei, SONG Bing, SHI Hongbo. Chemical process monitoring based on two step subspace division [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 110-117.
[2] WANG Li, ZHOU Yiqi, YU Gang, MI Yongzhen. Time-frequency analysis of cabin noise based on ensemble empirical mode decomposition and independent component analysis#br# [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(2): 80-88.
[3] GAO Shuang1,2, ZHANG Hua-xiang1,2*, FANG Xiao-nan1,2. Independent component analysis and co-training based Web spam detection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2013, 43(2): 29-34.
[4] , . Research on Face Image Retrieval Based on Principal Independent [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(4): 0-0 .
[5] , . speech feature extraction by 2-D indepedent component analysis [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(4): 0-0 .
[6] SUN Guo-xia,SUN Xing-hua,BAI Shu-zhong,LIU Ju,SUN Jian-de . Research on face image retrieval based on principal independent content features [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(4): 81-84 .
[7] ZOU Xin,LI Wan-long,LIU Ju,Peter Jancovic . Speech feature extraction based on 2-D independent component analysis [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(4): 85-88 .
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd