NDLI: New Fast and Robust Stochastic Algorithm of Two Stage Vector Quantization for Joint Source-Channel Speech Coding for Any Transmission Channel

Content Provider	IEEE Xplore Digital Library
Author	Garcia, V.M.S. Ramirez, A.A.A.
Copyright Year	2006
Description	Author affiliation: CITEDI-IPN, Tijuana (Garcia, V.M.S.)
Abstract	A new algorithm of two stage vector quantization for joint source-channel speech coding for any transmission channels is presented. The computational complexity is only slightly higher than the most widely used multi stage vector quantization algorithm (MSVQ). This new algorithm improves the characteristics and the results of a sequential quantizer of two stages. The base of this algorithm is the modification of the well-known GS-RGSKAepsiv algorithm (reduced complexity generalized stochastic K-means algorithm of great speed) for a non-stationary channel. This new algorithm is optimal for the joint construction of two stages. The main features of the proposed algorithm are as follows: 1) Due to its stochastic nature it avoids being trapped in poor local minimums. 2) Initial codebooks are not needed; the codevectors move away from the gravity center of the training vectors towards their final position. 3) Source coding and channel coding are jointly optimized to obtain robust codebooks for different levels of noise in transmission channels. 4) The reduction of calculation time is based on geometric considerations and memory management. This algorithm allows to design the codebook orderly due to its advantageous convergence properties. The results showed that the algorithm needs only 8 to 16% of the number of mathematical operations in comparison with the operations required by others propositions for full search of MSQV, either stationary or non-stationary channels
Starting Page	215
Ending Page	219
File Size	146938
Page Count	5
File Format	PDF
ISBN	0769525695
DOI	10.1109/CERMA.2006.117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-26
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech coding Vector quantization Stochastic resonance Source coding Stochastic processes Robustness Management training Computational complexity Channel coding Gravity
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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