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Combining Cepstral and Prosodic Features for Classification of Disfluencies in Stuttered Speech

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Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 308))

Abstract

The process of recognition and classification of dysfluencies are significant in objective assessment of stuttered speech. The main focus of this study is to combine prosodic features and cepstral features in order to improve the performance of dysfluency recognition. The term prosody represents several characteristics related to human speech such as speaking rate, loudness, duration, and pitch. In this study, pitch, energy, and duration are considered as prosodic features and Mel Frequency Cepstral Coefficient (MFCC), delta MFCC (DMFCC), and delta–delta MFCC (DDMFCC) are used as cepstral feature set. The efficacy of the considered features has been evaluated using support vector machine (SVM) classifier. Experimental results demonstrated considerable enhancement in the overall performance with respect to the conventional methods present in the literature of stuttering dysfluency recognition.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, S.J. College of Engineering, Mysore, Karnataka, India

    P. Mahesha & D. S. Vinod

Authors
  1. P. Mahesha
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  2. D. S. Vinod
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Correspondence to P. Mahesha .

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Editors and Affiliations

  1. University of Canberra, Faculty of Education, Science, Technology and Mathematics, Canberra, Australia, and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engin, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Premier and Cabinet, Office of the Chief Information Officer, Adelaide, South Australia, Australia

    Nikhil Ichalkaranje

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Mahesha, P., Vinod, D.S. (2015). Combining Cepstral and Prosodic Features for Classification of Disfluencies in Stuttered Speech. In: Jain, L., Patnaik, S., Ichalkaranje, N. (eds) Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 308. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2012-1_67

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  • DOI: https://doi.org/10.1007/978-81-322-2012-1_67

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2011-4

  • Online ISBN: 978-81-322-2012-1

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