A Mongolian speech recognition system based on HMM

被引：0
|
作者：
Gao, Guanglai [1 ]
Biligetu
Nabuqing
Zhang, Shuwu
机构：
[1] Inner Mongolia Univ, Coll Comp Sci, Hohhot 010021, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS | 2006年 / 4114卷
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：
Speaker independent large vocabulary continuous speech recognition technique has always been the research focus in the domain of artificial intelligence and pattern recognition. A Mongolian large vocabulary continuous speech recognition system is introduced in this paper. Mongolian is belonged to Altai phylum, and similar with the Western language. According to the characteristics of Mongolian pronunciation, we build the Mongolian acoustic model. We collected a large size corpus to construct the language model. HTK (HMM Toolkit) has been used to construct the system. The experimental results indicated that the design of models related to the Mongolian speech recognition is rational and correct.
引用
收藏
页码：667 / 676
页数：10
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