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Vowel Sound Recognition Using a Spectrum Envelope Feature Detection Method and Neural Network

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6278))

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Abstract

We proposed vowel sound recognition using a spectrum envelope feature detection method. At first, we collected sound with a headset microphone and Windows sound recorder. I used disintegration Fourier transform and cepstrum analysis to create sound and extracted the characteristic point in the frequency axis of each vowel. I took the characteristic point from the first to the second. This is sample data of each vowel sound. With a neural network, I made a program to perform vowel sound recognition. As a result, I was able to finish the basic vowel recognition program. With this method two undulate mountains in the spectrum envelope graph of each voice data are selected. Each vowel sound can be categorized clearly in spite of the environment of the speaker indefiniteness. It is possible to improve the voice recognition in the speaker indefiniteness in the simple algorithm.

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Author information

Authors and Affiliations

  1. Department of Electrical & Electronic Engineering, Suzuka National College of Technology, Shiroko, Suzuka Mie, 510-0294, Japan

    Masashi Kawaguchi & Naohiro Yonekura

  2. Department of Environmental Technology and Urban Planning Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, 466-8555, Japan

    Takashi Jimbo

  3. Department of Information Science, Aichi Institute of Technology, Yachigusa, Yagusa-cho, Toyota, 470-0392, Japan

    Naohiro Ishii

Authors
  1. Masashi Kawaguchi
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  2. Naohiro Yonekura
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  3. Takashi Jimbo
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  4. Naohiro Ishii
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Editor information

Editors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, University of Portsmouth, BUckingham Building, Lion Terrace, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Kawaguchi, M., Yonekura, N., Jimbo, T., Ishii, N. (2010). Vowel Sound Recognition Using a Spectrum Envelope Feature Detection Method and Neural Network. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-15393-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15392-1

  • Online ISBN: 978-3-642-15393-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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