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Scalable speech coding at rates below 900 BPS

Jahangiri, E ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICME.2008.4607377
  3. Publisher: 2008
  4. Abstract:
  5. This paper introduces a novel scalable speech coding scheme based on embedded matrix quantization of LSF parameters in an LPC model. In the proposed quantizer, codewords are organized based on a tree structure through a cell-merging process, which leads to a fine-grain scalable coder at rates below 900 bps. Near natural sounding is achieved at very low rates by employing an efficient adaptive dual-band scheme to approximate the LPC excitation signals. Evaluation results, obtained from both overall quality measurement and intelligibility assessment, show that the proposed coder could be a reasonable choice for improving the bottom-line speech quality in low bit rates. © 2008 IEEE
  6. Keywords:
  7. Exhibitions ; Programming theory ; Speech ; Speech coding ; Trees (mathematics) ; Vocoders ; Adaptive ; Band schemes ; Codewords ; Dual-band excitation ; Efficient ; Embedded matrix quantization ; Evaluation results ; Excitation signals ; Intelligibility assessments ; Low bit rates ; Low rates ; LSF parameters ; Matrix quantizations ; Merging processes ; Overall qualities ; Quantizer ; Scalable coders ; Scalable speech coding ; Speech qualities ; Tree structures ; Very low rate speech coding ; Speech intelligibility
  8. Source: 2008 IEEE International Conference on Multimedia and Expo, ICME 2008, Hannover, 23 June 2008 through 26 June 2008 ; 2008 , Pages 85-88 ; 9781424425716 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4607377