Speech enhancement based on the subspace method

Futoshi Asano, Satoru Hayamizu, Takeshi Yamada, Satoshi Nakamura

研究成果査読

95 被引用数 (Scopus)

抄録

A method of speech enhancement using microphone-array signal processing based on the subspace method is proposed and evaluated in this paper. The method consists of the following two stages corresponding to the different types of noise. In the first stage, less-directional ambient noise is reduced by eliminating the noise-dominant subspace. It is realized by weighting the eigenvalues of the spatial correlation matrix. This is based on the fact that the energy of less-directional noise spreads over all eigenvalues while that of directional components is concentrated on a few dominant eigenvalues. In the second stage, the spectrum of the target source is extracted from the mixture of spectra of the multiple directional components remaining in the modified spatial correlation matrix by using a minimum variance beamformer. Finally, the proposed method is evaluated in both a simulated model environment and a real environment.

本文言語English
ページ(範囲)497-507
ページ数11
ジャーナルIEEE Transactions on Speech and Audio Processing
8
5
DOI
出版ステータスPublished - 2000 9
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • 音響学および超音波学
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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