发明名称 |
Temporal pattern recognition method and apparatus utilizing segment and frame-based models |
摘要 |
A method and apparatus is provided for identifying patterns from a series of feature vectors representing a time-varying signal. The method and apparatus use both a frame-based model and a segment model in a unified framework. The frame-based model determines the probability of an individual feature vector given a frame state. The segment model determines the probability of sub-sequences of feature vectors given a single segment state. The probabilities from the frame-based model and the segment model are then combined to form a single path score that is indicative of the probability of a sequence of patterns. Another aspect of the invention is the use of a frame-based model and a segment model to segment feature vectors during model training. Under this aspect of the invention, the frame-based model and the segment model are used together to identify probabilities associated with different segmentations.
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申请公布号 |
US6662158(B1) |
申请公布日期 |
2003.12.09 |
申请号 |
US20000560506 |
申请日期 |
2000.04.27 |
申请人 |
MICROSOFT CORPORATION |
发明人 |
HON HSIAO-WUEN;WANG KUANSAN |
分类号 |
G10L15/04;G10L15/14;(IPC1-7):G10L15/04 |
主分类号 |
G10L15/04 |
代理机构 |
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