DocumentCode
542194
Title
Multiple description speech coding with diversities
Author
Zhong, Xin ; Juang, Biing-hwang
Author_Institution
Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, 30332-0250, USA
Volume
1
fYear
2002
fDate
13-17 May 2002
Abstract
Multiple description coding (MDC) allows management of tradeoff in achievable rate-distortion performance among various components in a processing (coding-decoding) system or channels in a transmission scheme. Current MDC methods first fix performance of the central decoder at a conventional single description (SD) level. and then inject inter-channel redundancy to side coders to provide the needed robustness in case of information loss during transmission. In this work. we relegate the SD structure and quality to side decoders, and concentrate on improving the central decoder beyond the known SD quality. We provide justification for this alternative, state its inherent nature and challenge, and propose an efficient method to design MD coder under such criterion.
Keywords
Artificial neural networks; Decoding; Lead; Roads; Signal to noise ratio; Speech coding; Vocoders;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5743683
Filename
5743683
Link To Document