Journal of Applied Sciences ›› 2003, Vol. 21 ›› Issue (4): 353-356.

• Articles • Previous Articles     Next Articles

A Study on the Chinese Continuous Speech Recognition Unsupervised Speaker Adaptation Based on Maximum a Posteriori Algorithm

ZHAO Li, ZOU Cai-rong, WU Zhen-yang   

  1. Department of Radio Engineering, Southeast University, Nanjing 210096, China
  • Received:2002-09-11 Revised:2003-03-25 Online:2003-12-10 Published:2003-12-10

Abstract: Aiming at Chinese continuous speech recognition, a novel unsupervised speaker adaptation method based on maximum a posteriori algorithm is presented in this paper, together with a simple effective formula which can give a satisfying result with only a few data. It has been proved to be an effective method to apply.

Key words: recognition of Chinese continuous speech, unsupervised speaker adaptation, maximum a posteriori algorithm

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