Efficient encoding of speech LSF parameters using the Karhunen-Loeve transformation

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Abstract

Line Spectral Frequencies (LSF) provide an alternate parameterization of the analysis and synthesis filters used in Linear Predictive Coding (LPC) of speech. In this paper, a new method of quantization over the LSF vectors using the Karhunen-Loeve transform is presented. The new technique, which operates at about 1.8 kbits/s, has good quality and is not sensitive to quantization noise. When compared with other existing methods, this algorithm is better in terms of robustness and complexity.

Original languageEnglish
Pages (from-to)75-83
Number of pages9
JournalPeriodica Polytechnica: Electrical Engineering
Volume41
Issue number1
Publication statusPublished - 1 Jan 1997
Externally publishedYes

Keywords

  • Karhunen-Loeve transform
  • Line Spectral Frequencies
  • Linear Predictive Coding
  • Low bit rate
  • Speech coding

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