Improving the Error Resilience of G.711.1 Speech Coder with Multiple Description Coding

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Authors

Alikhanian, Hooman

Date

2010-06-02T20:39:17Z

Type

thesis

Language

eng

Keyword

Multiple Description Coding , Probability Mixture Models

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Abstract

This thesis devises quantization and source-channel coding schemes to increase the error robustness of the newly standardized ITU-T G.711.1 speech coder. The schemes employ Gaussian mixture model (GMM) based multiple description quantizers (MDQ). The thesis reviews the literature focusing on GMM based quantization, MDQ, and GMM-MDQ design methods and bit allocation schemes. GMM-MDQ are then designed for the quantization and coding of the MDCT coefficients in the G.711.1 speech coder. The designs are optimized for and tested over packet erasure channels. Performance of the designs are compared with Mohr's forward error correcting code based multiple description coding (MDC) scheme.

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Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2010-06-02 16:02:11.727

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This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.

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