发明名称 |
METHOD, APPARATUS, AND SYSTEM FOR BUILDING CONTEXT DEPENDENT MODELS FOR A LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION (LVCSR) SYSTEM |
摘要 |
According to one aspect of the invention, a method is provided in which a set of multiple mixture monophone models is created and trained to generate a set of multiple mixture context dependent models. A set of single mixture triphone models is created and trained to generate a set of context dependent models. Corresponding states of the triphone models are clustered to obtain a set of tied states based on a decision tree clustering process. Parameters of the context dependent models are estimated using a data dependent maximum a posteriori (MAP) adaptation method in which parameters of the tied states of the context dependent models are derived by adapting corresponding parameters of the context independent models using the training data associated with the respective tied states.
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申请公布号 |
WO02091357(A1) |
申请公布日期 |
2002.11.14 |
申请号 |
WO2001CN00684 |
申请日期 |
2001.05.08 |
申请人 |
INTEL CORPORATION;INTEL CHINA LTD.;LIU, XIAOXING;YUAN, BAOSHENG;YAN, YONGHONG |
发明人 |
LIU, XIAOXING;YUAN, BAOSHENG;YAN, YONGHONG |
分类号 |
G10L15/18;G10L15/187;(IPC1-7):G10L15/06 |
主分类号 |
G10L15/18 |
代理机构 |
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