Invention Grant
US09564126B2 Using models to detect potential significant errors in speech recognition results
有权
使用模型来检测语音识别结果中的潜在重大错误
- Patent Title: Using models to detect potential significant errors in speech recognition results
- Patent Title (中): 使用模型来检测语音识别结果中的潜在重大错误
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Application No.: US14557321Application Date: 2014-12-01
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Publication No.: US09564126B2Publication Date: 2017-02-07
- Inventor: William F. Ganong, III , Raghu Vemula , Robert Fleming
- Applicant: Nuance Communications, Inc.
- Applicant Address: US MA Burlington
- Assignee: Nuance Communications, Inc.
- Current Assignee: Nuance Communications, Inc.
- Current Assignee Address: US MA Burlington
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G10L15/18
- IPC: G10L15/18 ; G10L15/01 ; G10L15/26 ; G10L15/183

Abstract:
In some embodiments, a recognition result produced by a speech processing system based on an analysis of a speech input is evaluated for indications of potential errors. In some embodiments, sets of words/phrases that may be acoustically similar or otherwise confusable, the misrecognition of which can be significant in the domain, may be used together with a language model to evaluate a recognition result to determine whether the recognition result includes such an indication. In some embodiments, a word/phrase of a set that appears in the result is iteratively replaced with each of the other words/phrases of the set. The result of the replacement may be evaluated using a language model to determine a likelihood of the newly-created string of words appearing in a language and/or domain. The likelihood may then be evaluated to determine whether the result of the replacement is sufficiently likely for an alert to be triggered.
Public/Granted literature
- US20150088519A1 DETECTING POTENTIAL SIGNIFICANT ERRORS IN SPEECH RECOGNITION RESULTS Public/Granted day:2015-03-26
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