Speaker adaptive Phoneme recognition based on feature mapping from spectral domain to probabilistic domain

Tetsunori Kobayashi, Y. Uchiyama, J. Osada, K. Shirai

    研究成果: Conference contribution

    抄録

    A new feature parameter space for speech recognition called PRPG (Probability Ratios between Phoneme Group pairs) has been proposed and speaker adaptive phoneme recognition has been performed. In the coordinate system proposed here, the area with the same information for speech recognition is compressed into one point. The mapping function from spectral coordinate system to proposed one is realized using a neural network. The code-vectors designed on this coordinate system are assured to be informationtheoretically more efficient than that of spectral coordinate system. Moreover, by the definition of the coordinate system, the meaning of axes are equivalent among different speakers, so the speaker adaptation can be easily performed without trajectory mapping. The experimental results show that the 40% of errors are reduced by the coordinate conversion in the speaker-dependent tasks. The scores of the speakeradaptive tasks in the proposed feature domain are always superior to those of the speaker-dependent tasks in the spectral domain.

    本文言語English
    ホスト出版物のタイトルICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ457-460
    ページ数4
    1
    ISBN(電子版)0780305329
    DOI
    出版ステータスPublished - 1992
    イベント1992 International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
    継続期間: 1992 3 231992 3 26

    Other

    Other1992 International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
    国/地域United States
    CitySan Francisco
    Period92/3/2392/3/26

    ASJC Scopus subject areas

    • ソフトウェア
    • 信号処理
    • 電子工学および電気工学

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