Parameter setting of noise reduction filter using speech recognition system

Tomomi Abe, Mitsuharu Matsumoto, Shuji Hashimoto

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    This paper describes parameter setting of noise reduction filter using speech recognition system. Parameter setting problem is usually solved by maximization or minimization of some objective evaluation functions such as correlation and statistical independence. However, when we consider a single-channel noisy signal, it is difficult to employ such objective functions. It is also difficult to employ them when we consider impulsive noise because its duration is very small to use this assumption. To solve the problems, we directly use a speech recognition system as evaluation function for parameter setting. As an example, we employ time-frequency e-filter and Julius as a filtering system and a speech recognition system, respectively. The experimental results show that the proposed approach has a potential to set the parameter in unknown environments.

    本文言語English
    ホスト出版物のタイトルICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation
    ページ387-391
    ページ数5
    出版ステータスPublished - 2010
    イベントInternational Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010 - Valencia
    継続期間: 2010 10 242010 10 26

    Other

    OtherInternational Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010
    CityValencia
    Period10/10/2410/10/26

    ASJC Scopus subject areas

    • 計算理論と計算数学
    • 応用数学

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