In this paper, we propose a reduced complexity stochastic joint source-channel coding system developed for efficient and robust coding of widebandspeech ISF (Immittance Spectral Frequency) parameters. Initially, the ...
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In this paper, we propose a reduced complexity stochastic joint source-channel coding system developed for efficient and robust coding of widebandspeech ISF (Immittance Spectral Frequency) parameters. Initially, the aim of this encoding system was to achieve a transparent quantization of ISF parameters for ideal transmissions over a noiseless channels. It was designed based on the switched split vector quantization (SSVQ) technique and called "ISF-SSVQ coder". After that, our interest was drawn to the improvement of the ISF-SSVQ robustness for transmissions over a noisy channel. To protect implicitly our ISF coders, we developed a stochastic joint source-channel coding system based on a reduced complexity version of the channel optimized SSVQ technique. Simulation results will show that our new encoding system, called ISF-SCOSSVQ coder, can provide a good implicit protection to ISF parameters. The ISF-SCOSSVQ coder was further used to encode the ISF parameters of the Adaptive Multi-rate wideband (AMR-WB, ITU-T G.722.2) speechcoder operating over a noisy channel. We will show that the proposed ISF-SCOSSVQ coder contribute significantly in the improvement of the AMR-WB performance by ensuring a good coding robustness of its ISF parameters. (C) 2014 Elsevier B.V. All rights reserved.
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