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Application of Cepstrum Algorithms for Speech Recognition

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Developments in Applied Artificial Intelligence (IEA/AIE 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2718))

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Abstract

This paper proposes a novel method for speech recognition. This is method based on the calculation of correlation coefficients of cepestrum by linear prediction (LP). The results of the method is compared with other methods. The real cepstrum is used to separate/estimate the spectral content of the speech from its pitch frequencies. Some notes regarding the efficiency of the processors used in the simulations are also concluded.

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Author information

Authors and Affiliations

  1. Al-Kharj Technical College, Saudi Arabia

    Anwar Al-Shrouf

  2. College of Information Technology, Philadelphia University, Jordan

    Raed Abu Zitar & Ammer Al-Khayri

  3. Dept. of Computer Science, Petra Private University, Amman, Jordan

    Mohmmed Abu Arqub

Authors
  1. Anwar Al-Shrouf
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  2. Raed Abu Zitar
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  3. Ammer Al-Khayri
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  4. Mohmmed Abu Arqub
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Loughborough University, Loughborough, LE11 3TU, England

    Paul W. H. Chung  & Chris Hinde  & 

  2. Dept. of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666, USA

    Moonis Ali

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© 2003 Springer-Verlag Berlin Heidelberg

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Al-Shrouf, A., Zitar, R.A., Al-Khayri, A., Arqub, M.A. (2003). Application of Cepstrum Algorithms for Speech Recognition. In: Chung, P.W.H., Hinde, C., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2003. Lecture Notes in Computer Science(), vol 2718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45034-3_78

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  • DOI: https://doi.org/10.1007/3-540-45034-3_78

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40455-2

  • Online ISBN: 978-3-540-45034-4

  • eBook Packages: Springer Book Archive

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