发明名称 |
Speech recognition method and apparatus utilizing multi-unit models |
摘要 |
A speech recognition method and system utilize an acoustic model that is capable of providing probabilities for both a large acoustic unit and an acoustic sub-unit. Each of these probabilities describes the likelihood of a set of feature vectors from a series of feature vectors representing a speech signal. The large acoustic unit is formed from a plurality of acoustic sub-units. At least one sub-unit probability and at least on large unit probability from the acoustic model are used by a decoder to generate a score for a sequence of hypothesized words. When combined, the acoustic sub-units associated with all of the sub-unit probabilities used to determine the score span fewer than all of the feature vectors in the series of feature vectors. An overlapping decoding technique is also provided.
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申请公布号 |
US6629073(B1) |
申请公布日期 |
2003.09.30 |
申请号 |
US20000559505 |
申请日期 |
2000.04.27 |
申请人 |
MICROSOFT CORPORATION |
发明人 |
HON HSIAO-WUEN;WANG KUANSAN |
分类号 |
G10L15/02;G10L15/18;(IPC1-7):G01L15/06 |
主分类号 |
G10L15/02 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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