Quantizer Design in LSP Speech Analysis-Synthesis

Noboru Sugamura, Nariman Farvardin

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

The line spectrum pair (LSP) speech analysis-synthesis method is known as one of the most efficient vocoders. An important issue in encoding of the LSP parameters is that a certain ordering relationship between the LSP parameters is required to ensure the stability of the synthesis filter. This requirement has an important impact on the design of quantizers for the LSP parameters. In this paper, the performance of several algorithms for the quantization of the LSP parameters is studied. A new adaptive method which utilizes the ordering property of the LSP parameters is presented. A combination of this adaptive algorithm with nonuniform step size quantization is shown to be a very effective method for encoding the LSP parameters. The performance of the different quantization schemes is studied on several sequences of speech samples. For the spectral distortion measure, appropriate performance comparisons between the different quantization schemes are rendered.

Original languageEnglish
Pages (from-to)432-440
Number of pages9
JournalIEEE Journal on Selected Areas in Communications
Volume6
Issue number2
DOIs
StatePublished - Feb 1988

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