Exploring Content Features for Automated Speech Scoring

@inproceedings{Xie2012ExploringCF,
  title={Exploring Content Features for Automated Speech Scoring},
  author={Shasha Xie and Keelan Evanini and Klaus Zechner},
  booktitle={HLT-NAACL},
  year={2012}
}
Most previous research on automated speech scoring has focused on restricted, predictable speech. For automated scoring of unrestricted spontaneous speech, speech proficiency has been evaluated primarily on aspects of pronunciation, fluency, vocabulary and language usage but not on aspects of content and topicality. In this paper, we explore features representing the accuracy of the content of a spoken response. Content features are generated using three similarity measures, including a lexical… CONTINUE READING
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