发明授权
- 专利标题: Feneme-based Markov models for words
- 专利标题(中): 基于Feneme的马尔可夫模型的词
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申请号: US366231申请日: 1989-06-12
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公开(公告)号: US5165007A公开(公告)日: 1992-11-17
- 发明人: Lalit R. Bahl , Peter V. DeSouza , Robert L. Mercer , Michael A. Picheny
- 申请人: Lalit R. Bahl , Peter V. DeSouza , Robert L. Mercer , Michael A. Picheny
- 申请人地址: NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: NY Armonk
- 主分类号: G10L15/02
- IPC分类号: G10L15/02 ; G10L15/06 ; G10L15/14
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.
公开/授权文献
- US5977296A Chiral peptide nucleic acid monomers and oligomers 公开/授权日:1999-11-02