Invention Grant
- Patent Title: Unsupervised language model adaptation for automated speech scoring
- Patent Title (中): 无监督语言模型适应自动语音评分
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Application No.: US13803900Application Date: 2013-03-14
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Publication No.: US09224383B2Publication Date: 2015-12-29
- Inventor: Shasha Xie , Lei Chen
- Applicant: Educational Testing Service
- Applicant Address: US NJ Princeton
- Assignee: Educational Testing Service
- Current Assignee: Educational Testing Service
- Current Assignee Address: US NJ Princeton
- Agency: Jones Day
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/183

Abstract:
Systems and methods are provided for generating a transcript of a speech sample response to a test question. The speech sample response to the test question is provided to a language model, where the language model is configured to perform an automated speech recognition function. The language model is adapted to the test question to improve the automated speech recognition function by providing to the language model automated speech recognition data related to the test question, Internet data related to the test question, or human-generated transcript data related to the test question. The transcript of the speech sample is generated using the adapted language model.
Public/Granted literature
- US20130262110A1 Unsupervised Language Model Adaptation for Automated Speech Scoring Public/Granted day:2013-10-03
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