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The Speech Recognition Based on the Bark Wavelet Front-End Processing

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3614))

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Abstract

The paper uses Bark wavelet filter instead of the FIR filter as front-end processor of speech recognition system. Bark wavelet divides frequency band based on critical band and its bandwidths are equal in Bark domain. By selecting suitable parameters, Bark wavelet can overcome the disadvantage of dyadic wavelet and M-band wavelet dividing frequency band based on octave. The paper gave the concept and parameter setting method of Bark wavelet. For signals that are filtered by Bark wavelet, ZCPA features with noise-robust are extracted and used in speech recognition. And recognition network uses HMM. The results show the recognition rates of the system in noise environments are improved.

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References

  1. Kim, D.S., Lee, S.Y., Rhee, M.K.: Auditory processing of speech signal for robust speech recognition in real-world noisy environments. IEEE Transactions on Speech and Audio Processing 7(1), 55–68 (1999)

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  2. Fu, Q., Yi, K.C.: Bark wavelet transform of speech and its application in speech recognition. Journal of Electronics 28(10), 102–105 (2000)

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  3. Gajic, B., Kudldip, K.P.: Robust speech recognition using feature based on zero-crossings with peak amplitudes. In: ICASSP, vol. 1, pp. 64–67 (2003)

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Author information

Authors and Affiliations

  1. College of Information Engineering, Taiyuan University of Technology, 030024, Taiyuan, Shanxi, P.R. China

    Xueying Zhang, Zhiping Jiao & Zhefeng Zhao

Authors
  1. Xueying Zhang
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  2. Zhiping Jiao
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  3. Zhefeng Zhao
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, X., Jiao, Z., Zhao, Z. (2005). The Speech Recognition Based on the Bark Wavelet Front-End Processing. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_36

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  • DOI: https://doi.org/10.1007/11540007_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28331-7

  • Online ISBN: 978-3-540-31828-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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