DocumentCode :
675552
Title :
Reduced complexity algorithm for channel optimized switched split vector quantization: Application to wideband LSF parameters
Author :
Salah-Eddine, Cheraitia ; Bouzid, Merouane
Author_Institution :
Electron. Fac., Telecommun. Dept., USTHB, Algiers, Algeria
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a reduced complexity stochastic joint source-channel coding system is proposed for efficient and robust coding of wideband speech LSF (Line Spectral Frequencies) parameters. The aim of the initial version of this system was to achieve a transparent quantization quality of LSF parameters under noiseless channel conditions. It was developed based on the switched split vector quantization (SSVQ) technique and called “LSF-SSVQ coder”. After that, we were interested on the improvement of the LSF-SSVQ coder robustness for real transmissions over a noisy channel. To protect implicitly our wideband LSF encoders, we developed a non-redundant joint source-channel coding system based on a reduced complexity stochastic version of the channel optimized SSVQ technique.
Keywords :
combined source-channel coding; quantisation (signal); speech coding; stochastic processes; LSF-SSVQ coder; channel optimized switched split vector quantization; noiseless channel condition; nonredundant joint source-channel coding system; reduced complexity stochastic joint source-channel coding system; robust coding; switched split vector quantization; wideband LSF encoder; wideband speech line spectral frequency parameter; Quantization (signal); Speech; Speech coding; Switches; Vectors; Wideband; LSF parameters; SSVQ Quantization; robust speech coding; source-channel coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Electrical Engineering and Computing Technologies (AEECT), 2013 IEEE Jordan Conference on
Conference_Location :
Amman
Print_ISBN :
978-1-4799-2305-2
Type :
conf
DOI :
10.1109/AEECT.2013.6716468
Filename :
6716468
Link To Document :
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