Coding of LSP Parameters Using Interframe Moving Average Prediction and Multi-Stage Vector Quantization

H. Ohmuro, Takehiro Moriya, Kazunori Mano, Satoshi Miki

Research output: Contribution to conferencePaperpeer-review

21 Citations (Scopus)

Abstract

This paper proposes a new efficient line spectrum pair (LSP) vector quantization method which uses moving average (MA) interframe prediction of the parameters. This method has two advantages over auto-regressive prediction: the degradation of decoded parameters caused by bit errors affects only a few of the following frames, and codeword decoding can start at any frame. Using MA prediction, the final reconstructed LSP vector (quantized vector) of the current frame is represented as a linear combination of current and previous frame code vectors. In this paper we describe ways to achieve a more efficient LSP coder when each frame has four 10-ms subfraines. The spectral distance obtained by this method at 30 bits per 40 ms is better than that obtained using conventional multi-stage VQ without interframe correlation at 40 bits per 40 ms.

Original languageEnglish
Pages63-64
Number of pages2
DOIs
Publication statusPublished - 1993 Jan 1
Externally publishedYes
Event1993 IEEE Workshop on Speech Coding for Telecommunications: Speech Coding for the Network of the Future, SCFT 1993 - Sainte-Adele, Canada
Duration: 1993 Oct 131993 Oct 15

Conference

Conference1993 IEEE Workshop on Speech Coding for Telecommunications: Speech Coding for the Network of the Future, SCFT 1993
Country/TerritoryCanada
CitySainte-Adele
Period93/10/1393/10/15

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Communication
  • Computer Networks and Communications

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