LPC speech coding based on variable-length segment quantization

Y. Shiraki, Masaaki Honda

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

A low-bit-rate linear predictive coder (LPC) that is based on variable-length segment quantization is presented. In this vocoder, the speech spectral-parameter sequence is represented as the concatenation of variable-length spectral segments generated by linearly time-warping fixed-length code segments. Both the sequence of code segments and the segment lengths are efficiently determined using a dynamic programming procedure. This procedure minimizes the spectral distance measure between the original and the coded spectral sequence in a given interval. An iterative algorithm is developed for designing fixed-length code segments for the training spectral sequence. It updates the segment boundaries of the training spectral sequence using an a priori codebook and updates the codebook using these segment sequences. The convergence of this algorithm is discussed theoretically and experimentally. In experiments, the performance of variable-length segment quantization for voice coding is compared to that of fixed-length segment quantization and vector quantization.

Original languageEnglish
Pages (from-to)1437-1444
Number of pages8
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Volume36
Issue number9
DOIs
Publication statusPublished - 1988 Sep
Externally publishedYes

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ASJC Scopus subject areas

  • Signal Processing

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