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Unsupervised Language Model Adaptation for Automated Speech Scoring

Author(s):
Xie, Shasha; Chen, Lei
Patent Issued:
Dec 29, 2015
Patent Number:
9,224,383
Source:
ETS Patent
Document Type:
Patent
Family ID:
49236217
Subject/Key Words:
Patent, Active Patent, Language Models, Automated Scoring and Natural Language Processing, Speech Scoring, Speech Sample, Data Analysis, Speech Transcription

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.

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