Invention Grant
US08135578B2 Creation and use of application-generic class-based statistical language models for automatic speech recognition
有权
创建和使用应用程序通用的基于类的自动语音识别统计语言模型
- Patent Title: Creation and use of application-generic class-based statistical language models for automatic speech recognition
- Patent Title (中): 创建和使用应用程序通用的基于类的自动语音识别统计语言模型
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Application No.: US11845015Application Date: 2007-08-24
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Publication No.: US08135578B2Publication Date: 2012-03-13
- Inventor: Matthieu Hébert
- Applicant: Matthieu Hébert
- Applicant Address: US MA Burlington
- Assignee: Nuance Communications, Inc.
- Current Assignee: Nuance Communications, Inc.
- Current Assignee Address: US MA Burlington
- Agency: Glenn Patent Group
- Agent Michael A. Glenn
- Main IPC: G06F17/27
- IPC: G06F17/27

Abstract:
A method of creating an application-generic class-based SLM includes, for each of a plurality of speech applications, parsing a corpus of utterance transcriptions to produce a first output set, in which expressions identified in the corpus are replaced with corresponding grammar tags from a grammar that is specific to the application. The method further includes, for each of the plurality of speech applications, replacing each of the grammar tags in the first output set with a class identifier of an application-generic class, to produce a second output set. The method further includes processing the resulting second output sets with a statistical language model (SLM) trainer to generate an application-generic class-based SLM.
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