发明申请
- 专利标题： Updating hidden conditional random field model parameters after processing individual training samples
- 专利标题（中）： 在处理个人培训样本后更新隐藏的条件随机场模型参数
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申请号： US11233148申请日： 2005-09-22
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公开(公告)号： US20070067171A1公开(公告)日： 2007-03-22
- 发明人: Milind Mahajan , Alejandro Acero , Asela Gunawardana , John Platt
- 申请人： Milind Mahajan , Alejandro Acero , Asela Gunawardana , John Platt
- 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： G10L15/00
- IPC分类号： G10L15/00
摘要：
A method and apparatus are provided for training parameters in a hidden conditional random field model for use in speech recognition and phonetic classification. The hidden conditional random field model uses parameterized features that are determined from a segment of speech, and those values are used to identify a phonetic unit for the segment of speech. The parameters are updated after processing of individual training samples.
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