Speech feature extraction using independent component analysis

Jong Hwan Lee, Ho Young Jung, Te Won Lee, Soo Young Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

83 Citations (Scopus)

Abstract

In this paper, we proposed new speech features using independent component analysis to human speeches. When independent component analysis is applied to speech signals for efficient encoding the adapted basis functions resemble Gabor-like features. Trained basis functions have some redundancies, so we select some of the basis functions by the reordering method. The basis functions are almost ordered from the low frequency basis vector to the high frequency basis vector. And this is compatible with the fact that human speech signals have much more information in the low frequency range. Those features can be used in automatic speech recognition systems and the proposed method gives much better recognition rates than conventional mel-frequency cepstral features.

Original languageEnglish
Title of host publicationSpeech Processing II
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1631-1634
Number of pages4
ISBN (Electronic)0780362934
DOIs
Publication statusPublished - 2000
Externally publishedYes
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: 2000 Jun 52000 Jun 9

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Conference

Conference25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period00/6/500/6/9

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Lee, J. H., Jung, H. Y., Lee, T. W., & Lee, S. Y. (2000). Speech feature extraction using independent component analysis. In Speech Processing II (pp. 1631-1634). [862023] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2000.862023