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Very low rate scalable speech coding through classified embedded matrix quantization

Jahangiri, E ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1155/2010/480345
  3. Publisher: 2010
  4. Abstract:
  5. This paper proposes a scalable speech coding scheme using the embedded matrix quantization of the LSFs in the LPC model. For an efficient quantization of the spectral parameters, two types of codebooks of different sizes are designed and used to encode unvoiced and mixed voicing segments separately. The tree-like structured codebooks of our embedded quantizer, constructed through a cell merging process, help to make a fine-grain scalable speech coder. Using an efficient adaptive dual-band approximation of the LPC excitation, where voicing transition frequency is determined based on the concept of instantaneous frequency in the frequency domain, near natural sounding synthesized speech is achieved. Assessment results, including both overall quality and intelligibility scores show that the proposed coding scheme can be a reasonable choice for speech coding in low bandwidth communication applications
  6. Keywords:
  7. Cell merging ; Codebooks ; Coding scheme ; Different sizes ; Dual-band ; Embedded matrix quantization ; Frequency domains ; Instantaneous frequency ; Intelligibility scores ; Low rates ; Low-bandwidth ; Overall quality ; Quantizers ; Scalable speech coding ; Spectral parameters ; Speech coders ; Structured codebooks ; Synthesized speech ; Transition frequencies ; Speech coding ; Speech communication ; Telecommunication systems ; Speech intelligibility
  8. Source: Eurasip Journal on Advances in Signal Processing ; Volume 2010 , April , 2010 ; 16876172 (ISSN)
  9. URL: http://asp.eurasipjournals.springeropen.com/articles/10.1155/2010/480345