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Objective Speech Quality Evaluation Using an Adaptive Neuro-Fuzzy Network

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Speech, Audio, Image and Biomedical Signal Processing using Neural Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 83))

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A speech quality measure is a valuable assessment tool for the development of speech coding and enhancing techniques. Commonly, two approaches, subjective and objective, are used for measuring the speech quality. Subjective measures are based on the perceptual ratings by a group of listeners while objective metrics assess speech quality using the extracted physical parameters. Objective metrics that correlate well with subjective ratings are attractive as they are less expensive to administer and give more consistent results. In this work, we investigated a novel non-intrusive speech quality metric based on adaptive neuro-fuzzy network techniques. In the proposed method, a first-order Sugeno type fuzzy inference system (FIS) is applied for objectively estimating the speech quality. The features required for the proposed method are extracted from the perceptual spectral density distribution of the input speech by using the co-occurrence matrix analysis technique. The performance of the proposed method was demonstrated through comparisons with the state-of-the-art non-intrusive quality evaluation standard, the ITU-T P.563.

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Author information

Authors and Affiliations

  1. Department of Electrical & Computer Engineering, University of Western Ontario, London, Ontario, Canada

    Guo Chen

  2. Department of Electrical & Computer Engineering and National Centre for Audiology, University of Western Ontario, London, Ontario, Canada

    Vijay Parsa

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  1. Guo Chen
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  2. Vijay Parsa
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Sciences, Florida A&M University, Tallahassee, FL 32307, USA

    Bhanu Prasad

  2. Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, Guwahati, India

    S. R. Mahadeva Prasanna

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Chen, G., Parsa, V. (2008). Objective Speech Quality Evaluation Using an Adaptive Neuro-Fuzzy Network. In: Prasad, B., Prasanna, S.R.M. (eds) Speech, Audio, Image and Biomedical Signal Processing using Neural Networks. Studies in Computational Intelligence, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75398-8_5

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  • DOI: https://doi.org/10.1007/978-3-540-75398-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75397-1

  • Online ISBN: 978-3-540-75398-8

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