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Speech Recognition Using Novel Diatonic Frequency Cepstral Coefficients and Hybrid Neuro Fuzzy Classifier

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Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) (ISMAC 2018)

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 30))

Abstract

Speech recognition is the ability of the machine to identify spoken words and classify them into appropriate category. First stage in the process of speech recognition is the extraction of appropriate features from the recorded words. We propose a novel algorithm for feature extraction using diatonic frequency cepstral coefficients. Diatonic frequencies are derived from a musical scale called as diatonic scale. The scale is based on harmonics of sound and models nonlinear behavior of human auditory filter. After feature extraction, the next classification stage uses a hybrid classifier using artificial neural network and fuzzy logic. If the difference between prediction values available at the output of the neural network is less, the classifier matches wrong patterns. Proposed algorithm overcomes this drawback using fuzzy logic. Proposed hybrid classifier improves the recognition rate significantly over existing classifiers. Test bed used in the experimentation focuses on Marathi language. It is the native language spoken in the state of Maharashtra.

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Author information

Authors and Affiliations

  1. Sinhgad College of Engineering, Pune, India

    Himgauri Kondhalkar

  2. Cummins College of Engineering, Pune, India

    Prachi Mukherji

Authors
  1. Himgauri Kondhalkar
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  2. Prachi Mukherji
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Corresponding author

Correspondence to Himgauri Kondhalkar .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Kondhalkar, H., Mukherji, P. (2019). Speech Recognition Using Novel Diatonic Frequency Cepstral Coefficients and Hybrid Neuro Fuzzy Classifier. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_76

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_76

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00664-8

  • Online ISBN: 978-3-030-00665-5

  • eBook Packages: EngineeringEngineering (R0)

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