发明名称 |
HIDDEN MARKOV MODEL FOR SPEECH PROCESSING WITH TRAINING METHOD |
摘要 |
A method, system and apparatus are shown for identifying non-language speech sounds in a speech or audio signal. An audio signal is segmented and feature vectors are extracted from the segments of the audio signal. The segment is classified using a hidden Markov model (HMM) that has been trained on sequences of these feature vectors. Post-processing components can be utilized to enhance classification. An embodiment is described in which the hidden Markov model is used to classify a segment as a language speech sound or one of a variety of non-language speech sounds. Another embodiment is described in which the hidden Markov model is trained using discriminative learning. |
申请公布号 |
WO2010019831(A4) |
申请公布日期 |
2010.05.27 |
申请号 |
WO2009US53796 |
申请日期 |
2009.08.13 |
申请人 |
21CT, INC.;MCCLAIN, MATTHEW |
发明人 |
MCCLAIN, MATTHEW |
分类号 |
G10L15/14 |
主分类号 |
G10L15/14 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|