Parameter setting of noise reduction filter using speech recognition system

Tomomi Abe, Mitsuharu Matsumoto, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation
    Pages387-391
    Number of pages5
    Publication statusPublished - 2010
    EventInternational Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010 - Valencia
    Duration: 2010 Oct 242010 Oct 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

    Fingerprint

    Noise Reduction
    Speech Recognition
    Noise abatement
    Speech recognition
    Function evaluation
    Filter
    Evaluation Function
    Impulse noise
    Objective function
    Statistical Independence
    Impulsive Noise
    Filtering
    Unknown
    Experimental Results

    Keywords

    • Nonlinear filter
    • Parameter optimization
    • Recognition-based approach
    • Speech recognition system

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Applied Mathematics

    Cite this

    Abe, T., Matsumoto, M., & Hashimoto, S. (2010). Parameter setting of noise reduction filter using speech recognition system. In ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation (pp. 387-391)

    Parameter setting of noise reduction filter using speech recognition system. / Abe, Tomomi; Matsumoto, Mitsuharu; Hashimoto, Shuji.

    ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. 2010. p. 387-391.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abe, T, Matsumoto, M & Hashimoto, S 2010, Parameter setting of noise reduction filter using speech recognition system. in ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. pp. 387-391, International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010, Valencia, 10/10/24.
    Abe T, Matsumoto M, Hashimoto S. Parameter setting of noise reduction filter using speech recognition system. In ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. 2010. p. 387-391
    Abe, Tomomi ; Matsumoto, Mitsuharu ; Hashimoto, Shuji. / Parameter setting of noise reduction filter using speech recognition system. ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. 2010. pp. 387-391
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