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  • Research Article
  • Open Access

Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications

  • 1Email author,
  • 2 and
  • 3
EURASIP Journal on Advances in Signal Processing20032003:653129

  • Received: 27 May 2002
  • Published:


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.


  • temporal decomposition
  • speech coding
  • spectral parameters
  • dynamic programming
  • quantization

Authors’ Affiliations

ARC Special Research Center for Ultra-Broadband Information Networks (CUBIN), Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria, 3010, Australia
Institution of Engineers Australia, North Melbourne, Victoria, 3051, Australia
School of Electrical and Computer System Engineering, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, 3001, Australia


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