Title :
On quantizer dimensions in joint speech/channel coding
Author :
Fingscheidt, Tim ; Hindelang, Thomas ; Cox, Richard V. ; Seshadri, Nambi
Author_Institution :
AT&T Labs.-Res., Florham Park, NJ, USA
Abstract :
In mobile speech communication usually vector quantization (VQ) is employed to ensure high coding efficiency. Convolutional coding and softbit speech decoding can add a considerable amount of robustness. VQ as well as softbit decoding however can be a quite complex task. Under the constraint of a constant gross bit rate and clean channel quality we propose the use of lower dimensional VQ or even scalar quantization (SQ) with a higher bit rate which leaves then fewer redundancy to be added by channel coding. This concept of joint speech/channel coding with its suboptimal speech coder and weaker channel coder can efficiently employ softbit speech decoding yielding a low overall complexity transmission scheme. Cases are shown where its performance is even better as compared to a high dimensional VQ with softbit decoding
Keywords :
combined source-channel coding; decoding; land mobile radio; speech coding; vector quantisation; voice communication; channel coder; clean channel quality; constant gross bit rate; convolutional coding; joint speech/channel coding; low complexity transmission; mobile speech communication; performance; quantizer dimensions; scalar quantization; softbit speech decoding; suboptimal speech coder; vector quantization; Binary phase shift keying; Bit rate; Channel coding; Codecs; Decoding; Laboratories; Oral communication; Quantization; Robustness; Speech coding;
Conference_Titel :
Speech Coding, 2000. Proceedings. 2000 IEEE Workshop on
Conference_Location :
Delavan, WI
Print_ISBN :
0-7803-6416-3
DOI :
10.1109/SCFT.2000.878404