HMM based recognition of Chinese tones in continuous speech

被引：0
|
作者：
Cheng, ML [1 ]
Cheng, XM [1 ]
Zhao, L [1 ]
机构：
[1] Xian Railway Vocat Coll, Dept Elect Informat, Xian 710014, Peoples R China
来源：
PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel method for recognizing Chinese tones in continuous speech is proposed in this paper. The first and second order differentials of the fundamental frequency logarithmically converted are used as feature parameters. A left-to-right Hidden Markov Modeling with five states, each of which is modeled by a single Gaussian, expresses each of Chinese tones. Non-voiced portions are coded by random values normally distributed to uniformly deal with all the time frames in an utterance. Speaker dependent tone recognition was conducted for ten speakers. The average rate of 81.8% was obtained for these speakers.
引用
收藏
页码：916 / 919
页数：4
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