Patent ID: 9704413
Date: 2017-07-11
CPC Classifications: G09B,G10L

Claim:
1. A computer-implemented method of scoring non-native speech, comprising: receiving a speech sample spoken by a non-native speaker to be scored by a scoring model using a processing system, wherein the scoring model generates scores for speech samples based on one or more speech metrics; performing automatic speech recognition on the speech sample to generate a transcript of the speech sample; processing the speech sample to generate a plurality of speech metrics and a confidence score associated with one of the scoring model speech metrics using the processing system; applying a plurality of non-scorable response filters to the plurality of speech metrics and the confidence score using the processing system; determining whether the speech sample is scorable or non-scorable based upon the transcript and a collective application of the non-scorable response filters to the plurality of speech metrics and the confidence score using the processing system, wherein the determining is based on assessment of audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, and whether the speech sample includes speech from an incorrect language; associating an indication of non-scorability with the speech sample when the sample is determined to be non-scorable using the processing system; and providing the sample to a scoring model for scoring when the sample is determined to be scorable using the processing system.