The application of Speech Recognition Technology based on HMM

被引:0
作者
Yan, Guilin [1 ]
机构
[1] Yun Yang Teachers Coll, Dept Foreign Languages, Danjiangkou, Hubei, Peoples R China
来源
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015) | 2015年 / 126卷
关键词
Hidden Markov Model; Speech recognition; Viterbi Algorithm;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
It was a great improvement for the speech signal digital processing technology to use the model of Hidden Markov Model in 1980's, which is used to describe the speech signal. In this paper, with the help of the speech recognition technology and the interpretation of Hidden Markov model, by means of the analysis on HMM and Viterbi algorithm, it discusses the speech recognition based on HMM.
引用
收藏
页码:676 / 679
页数:4
相关论文
共 5 条
[1]  
Hennanski H., 1985, PROCIEEE ACVUST SPEE, V1, P33
[2]   The development of analysis methods for speech recognition [J].
Hoffmann, R ;
Westendorf, CM .
BEHAVIOURAL PROCESSES, 1997, 39 (02) :113-125
[3]  
Jaime Salazar, 2003, P INT JOINT C NEURAL, V32, P1086
[4]   Speech recognition of mandarin monosyllables [J].
Li, TF .
PATTERN RECOGNITION, 2003, 36 (11) :2713-2721
[5]  
Yoshizawa Shingo, 2004, ELECTR COMMUN 3, V87, P26