Patent №
US 9,704,413
Granted
2017-07-11
Filed 2015
Owner
EDUCATIONAL TESTING SERVICE
Lab
—
AI components
5
ml · nlp · speech · kr · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14665258
A method for scoring non-native speech includes receiving a speech sample spoken by a non-native speaker and performing automatic speech recognition and metric extraction on the speech sample to generate a transcript of the speech sample and a speech metric associated with the speech sample. The method further includes determining whether the speech sample is scorable or non-scorable based upon the transcript and speech metric, where the determination is based on an audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, whether the speech sample includes speech from an incorrect language, or whether the speech sample includes plagiarized material. When the sample is determined to be non-scorable, an indication of non-scorability is associated with the speech sample. When the sample is determined to be scorable, the sample is provided to a scoring model for scoring.
AI classification
Ownership
EDUCATIONAL TESTING SERVICE
assignment · 365180954
Assignors
YOON, SU-YOUN, HIGGINS, DERRICK, ZECHNER, KLAUS, XIE, SHASHA, JEON, JE HUN, EVANINI, KEELAN, LING, GUANGMING, BEJAR, ISAAC
On an employer assignment, the assignors are typically the inventors.