Method and System for the Automatic Generation of Speech Features for Scoring High Entropy Speech
- Author(s):
- Bejar, Isaac I.; Zechner, Klaus
- Patent Issued:
- Jun 26, 2012
- Patent Number:
- 8,209,173
- Source:
- ETS Patent
- Document Type:
- Patent
- Family ID:
- 36090574
- Subject/Key Words:
- Patent, Active Patent, Automatic Speech Recognition, Entropy, Automated Scoring Models, Speech Sample, Lexical Cohesion, Fluency Measures
Abstract
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.