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Method and System for the Automatic Generation of Speech Features for Scoring High Entropy Speech

Bejar, Isaac I.; Zechner, Klaus
Patent Issued:
Jun 24, 2008
Patent Number:
ETS Patent
Document Type:
Family ID:
Subject/Key Words:
Patent, Active Patent, Automatic Speech Recognition, Entropy, Speech Sample, Lexical Cohesion, Fluency Measures, Automated Scoring Models


A method and system for automatically generating a scoring model for scoring a speech sample are disclosed. One or more training speech samples are received in response to a prompt. One or more speech features are determined for each of the training speech samples. A scoring model is then generated based on the speech features. At least one of the training speech samples may be a high entropy speech sample. An evaluation speech sample is received and a score is assigned to the evaluation speech sample using the scoring model. The evaluation speech sample may be a high entropy speech sample.

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