Invention Application
US20070083373A1 Discriminative training of HMM models using maximum margin estimation for speech recognition
审中-公开
用于语音识别的最大边际估计的HMM模型的辨别性训练
- Patent Title: Discriminative training of HMM models using maximum margin estimation for speech recognition
- Patent Title (中): 用于语音识别的最大边际估计的HMM模型的辨别性训练
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Application No.: US11247854Application Date: 2005-10-11
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Publication No.: US20070083373A1Publication Date: 2007-04-12
- Inventor: Chaojun Liu , David Kryze , Luca Rigazio
- Applicant: Chaojun Liu , David Kryze , Luca Rigazio
- Applicant Address: JP Osaka
- Assignee: Matsushita Electric Industrial Co., Ltd.
- Current Assignee: Matsushita Electric Industrial Co., Ltd.
- Current Assignee Address: JP Osaka
- Main IPC: G10L15/14
- IPC: G10L15/14

Abstract:
An improved discriminative training method is provided for hidden Markov models. The method includes: defining a measure of separation margin for the data; identifying a subset of training utterances having utterances misrecognized by the models; defining a training criterion for the models based on maximizing the separation margin; formulating the training criterion as a constrained minimax optimization problem; and solving the constrained minimax optimization problem over the subset of training utterances, thereby discriminatively training the models.
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