Invention Grant
US07925505B2 Adaptation of language models and context free grammar in speech recognition
有权
语言模型和语境自由语法在语音识别中的适应
- Patent Title: Adaptation of language models and context free grammar in speech recognition
- Patent Title (中): 语言模型和语境自由语法在语音识别中的适应
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Application No.: US11784896Application Date: 2007-04-10
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Publication No.: US07925505B2Publication Date: 2011-04-12
- Inventor: Jian Wu
- Applicant: Jian Wu
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G10L15/14

Abstract:
Architecture is disclosed herewith for minimizing an empirical error rate by discriminative adaptation of a statistical language model in a dictation and/or dialog application. The architecture allows assignment of an improved weighting value to each term or phrase to reduce empirical error. Empirical errors are minimized whether a user provides correction results or not based on criteria for discriminatively adapting the user language model (LM)/context-free grammar (CFG) to the target. Moreover, algorithms are provided for the training and adaptation processes of LM/CFG parameters for criteria optimization.
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