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Compressed Sensing-Speech Coding Scheme for Mobile Communications

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Abstract

A new source coding is proposed for secure and robust speech communications. The method is based on the combination of compressed sensing and split-multistage vector quantization. The proposed codec is integrated in an end-to-end communication system, and its performance is investigated in real mobile communication conditions. Channel compensation techniques are considered to mitigate the Rayleigh channel effects usually observed in mobile communications. Using the proposed speech coding scheme instead of current standards (e.g., AMR-WB) within the communication system results in a new end-to-end mobile communication design. The proposed design increases the transmission speed, robustness, and security without additional costs. For a bit rate of 8.85 kbit/s and in 10 dB Rayleigh environment, the recovered speech has a good perceptual evaluation of speech quality score close to 3.14 and a fair coherence speech intelligibility index value of around 0.47. Comparison with recent CS-based speech coding methods shows the merit of the proposed coder.

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Authors and Affiliations

  1. LCPTS, Telecommunication Department, University of Science and Technology Houari Boumediene, 16111, Algiers, Algeria

    Houria Haneche & Bachir Boudraa

  2. UMR 1253, iBrain, Inserm, Université de Tours, Tours, France

    Abdeldjalil Ouahabi

  3. LIMPAF, Computer Science Department, University of Bouira, 10000, Bouira, Algeria

    Abdeldjalil Ouahabi

Authors
  1. Houria Haneche
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  2. Abdeldjalil Ouahabi
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  3. Bachir Boudraa
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Correspondence to Houria Haneche.

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Haneche, H., Ouahabi, A. & Boudraa, B. Compressed Sensing-Speech Coding Scheme for Mobile Communications. Circuits Syst Signal Process 40, 5106–5126 (2021). https://doi.org/10.1007/s00034-021-01712-x

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