A regularized discriminative training method of acoustic models derived by minimum relative entropy discrimination

Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, Tetsunori Kobayashi

    研究成果: Conference contribution

    5 引用 (Scopus)

    抜粋

    We present a realization method of the principle of minimum relative entropy discrimination (MRED) in order to derive a regularized discriminative training method. MRED is advantageous since it provides a Bayesian interpretations of the conventional discriminative training methods and regularization techniques. In order to realize MRED for speech recognition, we proposed an approximation method of MRED that strictly preserves the constraints used in MRED. Further, in order to practically perform MRED, an optimization method based on convex optimization and its solver based on the cutting plane algorithm are also proposed. The proposed methods were evaluated on continuous phoneme recognition tasks. We confirmed that the MRED-based training system outperformed conventional discriminative training methods in the experiments.

    元の言語English
    ホスト出版物のタイトルProceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010
    ページ2954-2957
    ページ数4
    出版物ステータスPublished - 2010
    イベント11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba
    継続期間: 2010 9 262010 9 30

    Other

    Other11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
    Makuhari, Chiba
    期間10/9/2610/9/30

      フィンガープリント

    ASJC Scopus subject areas

    • Language and Linguistics
    • Speech and Hearing

    これを引用

    Kubo, Y., Watanabe, S., Nakamura, A., & Kobayashi, T. (2010). A regularized discriminative training method of acoustic models derived by minimum relative entropy discrimination. : Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010 (pp. 2954-2957)