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Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics pp 65–71Cite as

Recognition of Repetition and Prolongation in Stuttered Speech Using ANN

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 43))

Abstract

This paper mainly focuses on repetition and prolongation detection in stuttered speech signal. The acoustic and pitch related features like Mel-frequency cepstral coefficients (MFCCs), formants, pitch, zero crossing rate (ZCR) and Energy are used to test the effectiveness in recognizing repetitions and prolongations in stammered speech. Artificial Neural Networks (ANN) are used as classifier. The results are evaluated using combination of different features. The results show that the ANN classifier trained using MFCC features achieves an average accuracy of 87.39 % for repetition and prolongation recognition.

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Author information

Authors and Affiliations

  1. National Institute of Technology Karnataka, Surathkal, 575025, Karnataka, India

    P. S. Savin, Pravin B. Ramteke & Shashidhar G. Koolagudi

Authors
  1. P. S. Savin
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  2. Pravin B. Ramteke
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  3. Shashidhar G. Koolagudi
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Corresponding author

Correspondence to P. S. Savin .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  2. Dept. of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Durga Prasad Mohapatra

  3. Computer Science & Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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© 2016 Springer India

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Savin, P.S., Ramteke, P.B., Koolagudi, S.G. (2016). Recognition of Repetition and Prolongation in Stuttered Speech Using ANN. In: Nagar, A., Mohapatra, D., Chaki, N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 43. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2538-6_8

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  • DOI: https://doi.org/10.1007/978-81-322-2538-6_8

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2537-9

  • Online ISBN: 978-81-322-2538-6

  • eBook Packages: EngineeringEngineering (R0)

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