Title :
Multiple Description Conjugate Vector Quantizers with Side Distortion Compensation
Author :
Zhou, Yugang ; Chan, Wai-Yip
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont.
fDate :
Oct. 28 2005-Nov. 1 2005
Abstract :
Conjugate vector quantizer (CVQ), a joint source channel coding scheme robust to channel bit errors, is used in various popular speech coders such as ITU-T G.729 and ISO/IEC MPEG4 audio. We propose two multiple description CVQ (MD-CVQ) schemes for combating channel erasure errors. MD-CVQ offers an advantage of moderate computational complexity and storage over conventional MD vector quantizers (MDVQs). Experiments are performed for both i.i.d. Gaussian source and speech/audio signals. Results show that for low channel loss rates, a tradeoff exists between choosing MD-CVQ for its low complexity and MDVQ for its higher signal-to-noise ratio (SNR) performance. For medium to high channel loss rates, MD-CVQ is preferred for its low complexity and comparable SNR performance to MDVQ
Keywords :
audio coding; combined source-channel coding; computational complexity; speech coding; vector quantisation; Gaussian source; SNR; audio signals; channel erasure errors; computational complexity; joint source channel coding scheme; multiple description conjugate vector quantizers; side distortion compensation; signal-to-noise ratio; speech coders; speech signals; Channel coding; Computational complexity; Computer errors; Decoding; Delay; MPEG 4 Standard; Partitioning algorithms; Performance loss; Robustness; Speech;
Conference_Titel :
Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0131-3
DOI :
10.1109/ACSSC.2005.1599812