Computer-implemented systems and methods for content scoring of spoken responses

摘要

Systems and methods are provided for scoring a non-scripted speech sample. A system includes one or more data processors and one or more computer-readable mediums. The computer-readable mediums are encoded with a non-scripted speech sample data structure, where the non-scripted speech sample data structure includes: a speech sample identifier that identifies a non-scripted speech sample, a content feature extracted from the non-scripted speech sample, and a content-based speech score for the non-scripted speech sample. The computer-readable mediums further include instructions for commanding the one or more data processors to extract the content feature from a set of words automatically recognized in the non-scripted speech sample and to score the non-scripted speech sample by providing the extracted content feature to a scoring model to generate the content-based speech score.

主权项

1. A computer-implemented method of scoring a non-scripted speech sample, comprising:
extracting, using a processing system, a content feature from a set of words automatically recognized in the non-scripted speech sample; and scoring, using the processing system, the non-scripted speech sample by providing the extracted content feature to a content scoring model to generate a content-based speech score, the content scoring model comparing the extracted content feature to one or more score-level training vectors of a training corpus to generate the content-based speech score, the score-level training vectors having been determined from partitioning a set of scored, transcribed speech samples of the training corpus into sub-sets, with each of the sub-sets containing speech samples with identical scores.