Multiple-Description Predictive-Vector Quantization With Applications to Low Bit-Rate Speech Coding Over Networks

Author

Yahampath, Pradeepa ; Rondeau, Paul

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.

Volume

15

Issue

3

fYear

2007

fDate

3/1/2007 12:00:00 AM

Firstpage

749

Lastpage

755

Abstract

An algorithm for designing linear prediction-based two-channel multiple-description predictive-vector quantizers (MD-PVQs) for packet-loss channels is presented. This algorithm iteratively improves the encoder partition, the set of multiple description codebooks, and the linear predictor for a given channel loss probability, based on a training set of source data. The effectiveness of the designs obtained with the given algorithm is demonstrated using a waveform coding example involving a Markov source as well as vector quantization of speech line spectral pairs

Keywords

Markov processes; speech coding; vector quantisation; Markov source; channel loss probability; encoder partition; linear prediction-based multiple-description predictive-vector quantizer; low bit-rate speech coding; multiple description codebooks; packet-loss channels; speech line spectral pairs; two-channel multiple-description predictive-vector quantization; waveform coding; Algorithm design and analysis; Decoding; Distortion measurement; Iterative algorithms; Partitioning algorithms; Pulse modulation; Speech coding; Speech processing; Vector quantization; Video coding; Multiple-description coding; predictive coding; speech coding; vector quantization;

fLanguage

English

Journal_Title

Audio, Speech, and Language Processing, IEEE Transactions on

Publisher

ieee

ISSN

1558-7916

Type

jour

DOI

10.1109/TASL.2006.885937

Filename

4100702