Speech recognition in nonstationary noise based on parallel HMMs and spectral subtraction

Ryuji Mine, Tetsunori Kobayashi, Katsuhiko Shirai

研究成果: Article査読

2 被引用数 (Scopus)

抄録

This paper proposes a method of speech recognition in a nonstationary noisy environment, combining the parallel HMMs and the spectral subtraction. In the proposed method, a set of hypothesis is generated with respect to the combination of the speech and the noise that can produce the observed data by a series of subtraction processes. Using HMMs prepared separately for the speech and the noise, the probabilities of occurrence are calculated. The 100-word recognition in the noisy environment in an ordinary car running in an urban area, is defined as the task in the experiment. Comparative experiments, are made for the proposed method, the ordinary spectral subtraction method and other parallel HMM methods. Then, the effectiveness of the proposed method is verified.

本文言語English
ページ(範囲)37-44
ページ数8
ジャーナルSystems and Computers in Japan
27
14
DOI
出版ステータスPublished - 1996 12

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • 情報システム
  • ハードウェアとアーキテクチャ
  • 計算理論と計算数学

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