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Towards a New Image-Based Spectrogram Segmentation Speech Coder Optimised for Intelligibility

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Advances in Multimedia Modeling (MMM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5371))

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Abstract

Speech intelligibility is the very essence of communications. When high noise can degrade a speech signal to the threshold of intelligibility, for example in mobile and military applications, introducing further degradation by a speech coder could prove critical. This paper investigates concepts towards a new speech coder that draws upon the field of image processing in a new multimedia approach. The coder is based on a spectrogram segmentation image processing procedure. The design criterion is for minimal intelligibility loss in high noise, as opposed to the conventional quality criterion, and the bit rate must be reasonable. First phase intelligibility listening test results assessing its potential alongside six standard coders are reported. Experimental results show the robustness of the LD-CELP coder, and the potential of the new coder with particularly good results in car noise conditions below -4.0dB.

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Author information

Authors and Affiliations

  1. School of Engineering, Swansea University, UK

    Keith A. Jellyman, Nicholas W. D. Evans, W. M. Liu & J. S. D. Mason

  2. EURECOM, Sophia Antipolis, France

    Nicholas W. D. Evans

Authors
  1. Keith A. Jellyman
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  2. Nicholas W. D. Evans
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  3. W. M. Liu
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  4. J. S. D. Mason
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Editor information

Editors and Affiliations

  1. Eurécom, 2229, route des crêtes, 06904, Sophia-Antipolis, France

    Benoit Huet

  2. Dublin City University, Dublin, Ireland

    Alan Smeaton

  3. Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA

    Ketan Mayer-Patel

  4. Image, Video and Multimedia Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 157 80, Athens, Greece

    Yannis Avrithis

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© 2009 Springer-Verlag Berlin Heidelberg

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Jellyman, K.A., Evans, N.W.D., Liu, W.M., Mason, J.S.D. (2009). Towards a New Image-Based Spectrogram Segmentation Speech Coder Optimised for Intelligibility. In: Huet, B., Smeaton, A., Mayer-Patel, K., Avrithis, Y. (eds) Advances in Multimedia Modeling . MMM 2009. Lecture Notes in Computer Science, vol 5371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92892-8_8

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  • DOI: https://doi.org/10.1007/978-3-540-92892-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92891-1

  • Online ISBN: 978-3-540-92892-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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