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

77 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 reordering method. The basis functions are almost ordered from low frequency basis vector to high frequency basis vector. And this is compatible with the fact that human speech signals have much more information on 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 publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages1631-1634
Number of pages4
Volume3
Publication statusPublished - 2000
Externally publishedYes
Event2000 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing - Istanbul, Turkey
Duration: 2000 Jun 52000 Jun 9

Other

Other2000 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing
CityIstanbul, Turkey
Period00/6/500/6/9

Fingerprint

Independent component analysis
pattern recognition
Feature extraction
low frequencies
speech recognition
redundancy
Speech recognition
Redundancy
coding
frequency ranges

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Lee, J-H., Jung, H. Y., Lee, T. W., & Lee, S. Y. (2000). Speech feature extraction using independent component analysis. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 3, pp. 1631-1634). IEEE.

Speech feature extraction using independent component analysis. / Lee, Jong-Hwan; Jung, Ho Young; Lee, Te Won; Lee, Soo Young.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3 IEEE, 2000. p. 1631-1634.

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

Lee, J-H, Jung, HY, Lee, TW & Lee, SY 2000, Speech feature extraction using independent component analysis. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 3, IEEE, pp. 1631-1634, 2000 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, Istanbul, Turkey, 00/6/5.
Lee J-H, Jung HY, Lee TW, Lee SY. Speech feature extraction using independent component analysis. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3. IEEE. 2000. p. 1631-1634
Lee, Jong-Hwan ; Jung, Ho Young ; Lee, Te Won ; Lee, Soo Young. / Speech feature extraction using independent component analysis. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3 IEEE, 2000. pp. 1631-1634
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