Model-based speech signal coding using optimized temporal decomposition for storage and broadcasting applications

Authors:
Chandranath R. N. Athaudage;Alan B. Bradley;Margaret Lech
Affiliations:
ARC Special Research Center for Ultra-Broadband Information Networks (CUBIN), Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria, Australia;Institution of Engineers Australia, North Melbourne, Victoria, Australia;School of Electrical and Computer System Engineering, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2003

Citing 4
Cited 0

Vector quantization and signal compression

Vector quantization and signal compression
Dynamic Programming and Optimal Control, Two Volume Set

Dynamic Programming and Optimal Control, Two Volume Set
MELP: The New Federal Standard at 2400 Bps

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
A new approach to very low-rate speech coding using temporal decomposition

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01

Quantified Score

Hi-index	0.00

Visualization

Abstract

A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech and its application to low-rate speech coding in storage and broadcasting is presented. In previous work with the spectral stability-based event localizing (SBEL) TD algorithm, the event localization was performed based on a spectral stability criterion. Although this approach gave reasonably good results, there was no assurance on the optimality of the event locations. In the present work, we have optimized the event localizing task using a dynamic programming-based optimization strategy. Simulation results show that an improved TD model accuracy can be achieved. A methodology of incorporating the optimized TD algorithm within the standard MELP speech coder for the efficient compression of speech spectral information is also presented. The performance evaluation results revealed that the proposed speech coding scheme achieves 50%-60% compression of speech spectral information with negligible degradation in the decoded speech quality.