发明名称 |
Feneme-based Markov models for words |
摘要 |
In a speech recognition system, apparatus and method for modelling words with label-based Markov models is disclosed. The modelling includes: entering a first speech input, corresponding to words in a vocabulary, into an acoustic processor which converts each spoken word into a sequence of standard labels, where each standard label corresponds to a sound type assignable to an interval of time; representing each standard label as a probabilistic model which has a plurality of states, at least one transition from a state to a state, and at least one settable output probability at some transitions; entering selected acoustic inputs into an acoustic processor which converts the selected acoustic inputs into personalized labels, each personalized label corresponding to a sound type assigned to an interval of time; and setting each output probability as the probability of the standard label represented by a given model producing a particular personalized label at a given transition in the given model. The present invention addresses the problem of generating models of words simply and automatically in a speech recognition system.
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申请公布号 |
US5165007(A) |
申请公布日期 |
1992.11.17 |
申请号 |
US19890366231 |
申请日期 |
1989.06.12 |
申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
BAHL, LALIT R.;DESOUZA, PETER V.;MERCER, ROBERT L.;PICHENY, MICHAEL A. |
分类号 |
G10L15/02;G10L15/06;G10L15/14 |
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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