发明申请
- 专利标题： Hidden conditional random field models for phonetic classification and speech recognition
- 专利标题（中）： 用于语音分类和语音识别的隐藏条件随机场模型
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申请号： US10966047申请日： 2004-10-15
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公开(公告)号： US20060085190A1公开(公告)日： 2006-04-20
- 发明人: Asela Gunawardana , Milind Mahajan , Alejandro Acero
- 申请人： Asela Gunawardana , Milind Mahajan , Alejandro Acero
- 申请人地址： US WA Redmond
- 专利权人： Microsoft Corporation
- 当前专利权人： Microsoft Corporation
- 当前专利权人地址： US WA Redmond
- 主分类号： G10L15/14
- IPC分类号： G10L15/14
摘要：
A method and apparatus are provided for training and using a hidden conditional random field model for speech recognition and phonetic classification. The hidden conditional random field model uses features, at least one of which is based on a hidden state in a phonetic unit. Values for the features are determined from a segment of speech, and these values are used to identify a phonetic unit for the segment of speech.
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