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Isolated Word Recognition for Kannada Language Using Support Vector Machine

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Wireless Networks and Computational Intelligence (ICIP 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 292))

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Abstract

An ideal Automatic Speech Recognition system has to accurately and efficiently convert a speech signal into a text message transcription of the spoken words, independent of the device used to record the speech (i.e., the transducer or microphone), the speaker, or the environment. There are three approaches to speech recognition, Acoustic-phonetic approach, Pattern recognition approach and Artificial intelligence approach, where in the pattern recognition approach statistical methods are used. We have developed an Isolated Word Recognition (IWR) system for identification of spoken words for the database created by recording the words in Kannada Language. The developed system is tested and evaluated with a performance of 79% accuracy.

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Author information

Authors and Affiliations

  1. Department of Computer Applications, NMAMIT, Nitte, Udupi District, Karnataka, India, 574110

    Sarika Hegde & Surendra Shetty

  2. Department of Statistics, Mangalore University, Mangalagangothri, Mangalore, Karnataka, India, 574199

    Achary K.K.

Authors
  1. Sarika Hegde
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  2. Achary K.K.
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  3. Surendra Shetty
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, 560 001, Bangalore, India

    K. R. Venugopal

  2. Indian Institute of Science, Bangalore, India

    L. M. Patnaik

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© 2012 Springer-Verlag Berlin Heidelberg

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Hegde, S., K.K., A., Shetty, S. (2012). Isolated Word Recognition for Kannada Language Using Support Vector Machine. In: Venugopal, K.R., Patnaik, L.M. (eds) Wireless Networks and Computational Intelligence. ICIP 2012. Communications in Computer and Information Science, vol 292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31686-9_31

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  • DOI: https://doi.org/10.1007/978-3-642-31686-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31685-2

  • Online ISBN: 978-3-642-31686-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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