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FLC-Regulated Speaker Adaptation Mechanisms for Speech Recognition

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6422))

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Abstract

The exploitation of fuzzy logic control (FLC) mechanism in the fields of speaker adaptation (SA) is thoroughly investigated in this study, specifically in the reliable determination of HMM acoustic parameters. For enhancing the performance of speaker adaptation, the FLC mechanism is engineered into the MAP estimate of HMM parameters for Bayesian-based adaptation; also into the MLLR estimate for transformation-based adaptation. The speech recognition system using an adaptation scheme with the support of FLC will still be able to keep a satisfactory recognition performance even in an ordinary case.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Formosa University, No.64, Wunhua Rd., Huwei Township, Yunlin County, 632, Taiwan, R.O.C.

    Ing-Jr Ding

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  1. Ing-Jr Ding
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Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Ding, IJ. (2010). FLC-Regulated Speaker Adaptation Mechanisms for Speech Recognition. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16732-4_31

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  • DOI: https://doi.org/10.1007/978-3-642-16732-4_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16731-7

  • Online ISBN: 978-3-642-16732-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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