Speaker adaptation algorithms based on piece-wise moving adaptive segment quantization method

Yoshinao Shiraki*, Masaaki Honda

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)


A speaker adaptation method is presented based on a piece wise linear mapping of spectral code vector space into the spectral vector space of an unknown speaker. Adaptation is performed by modifying the code vectors to give a better fit to input the spectral vectors, while maintaining the local continuity of distribution of the original code vectors. Two adaptation algorithms are presented: a minimum-distortion method which provides a monotonic nonincreasing distortion for the training data and a simplified method. These algorithms are investigated in terms of distortion performance and adaptation speed. Experimental results show that the method provides much higher adaptation speed than the LBG (Linde-Buzo-Gray) algorithm and that the distortion performance approaches that of the LBG algorithm as the size of the training data increases.

Original languageEnglish
Pages (from-to)657-660
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1990
Externally publishedYes
Event1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA
Duration: 1990 Apr 31990 Apr 6

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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