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Speech Feature Extraction Based on Wavelet Modulation Scale for Robust Speech Recognition

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Book cover Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4233))

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Abstract

An analysis based on wavelet modulation scales feature extraction is proposed. Considering human auditory perception and varieties of disturbances, instead of the frequency differences, wavelet modulation scales are adopted to reflect the dynamic features of speech in ASR. Experiments for the Chinese digit-string recognition show extracting the wavelet modulation scales as the dynamic features have good performance both in additional noises and convolutional noises environment.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Shandong University, Jinan, Shandong, 250100, P.R. China

    Xin Ma, Weidong Zhou & Fang Ju

  2. College of Control Science and Engineering, Shandong University, Jinan, Shandong, 250100, P.R. China

    Qi Jiang

Authors
  1. Xin Ma
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  2. Weidong Zhou
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  3. Fang Ju
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  4. Qi Jiang
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  4. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, OH 43210, Columbus

    DeLiang Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Ma, X., Zhou, W., Ju, F., Jiang, Q. (2006). Speech Feature Extraction Based on Wavelet Modulation Scale for Robust Speech Recognition. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893257_56

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  • DOI: https://doi.org/10.1007/11893257_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46481-5

  • Online ISBN: 978-3-540-46482-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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