Title
Compressed Sensing-Speech Coding Scheme For Mobile Communications
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.
Year
DOI
Venue
2021
10.1007/s00034-021-01712-x
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Keywords
DocType
Volume
Speech coding, Compressed sensing, Split-multistage vector quantization, Mobile communication system, Rayleigh environment
Journal
40
Issue
ISSN
Citations 
10
0278-081X
1
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Houria Haneche120.71
Abdeldjalil Ouahabi210.34
Bachir Boudraa310.34