Journal of Applied Sciences ›› 2003, Vol. 21 ›› Issue (4): 353-356.
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ZHAO Li, ZOU Cai-rong, WU Zhen-yang
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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
CLC Number:
TP391.42
ZHAO Li, ZOU Cai-rong, WU Zhen-yang. A Study on the Chinese Continuous Speech Recognition Unsupervised Speaker Adaptation Based on Maximum a Posteriori Algorithm[J]. Journal of Applied Sciences, 2003, 21(4): 353-356.
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https://www.jas.shu.edu.cn/EN/Y2003/V21/I4/353