@inproceedings{loukina-etal-2017-speech,
    title = "Speech- and Text-driven Features for Automated Scoring of {E}nglish Speaking Tasks",
    author = "Loukina, Anastassia  and
      Madnani, Nitin  and
      Cahill, Aoife",
    editor = "Ruiz, Nicholas  and
      Bangalore, Srinivas",
    booktitle = "Proceedings of the Workshop on Speech-Centric Natural Language Processing",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W17-4609/",
    doi = "10.18653/v1/W17-4609",
    pages = "67--77",
    abstract = "We consider the automatic scoring of a task for which both the content of the response as well its spoken fluency are important. We combine features from a text-only content scoring system originally designed for written responses with several categories of acoustic features. Although adding any single category of acoustic features to the text-only system on its own does not significantly improve performance, adding all acoustic features together does yield a small but significant improvement. These results are consistent for responses to open-ended questions and to questions focused on some given source material."
}