@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks
%A Loukina, Anastassia
%A Madnani, Nitin
%A Cahill, Aoife
%Y Ruiz, Nicholas
%Y Bangalore, Srinivas
%S Proceedings of the Workshop on Speech-Centric Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F loukina-etal-2017-speech
%X 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.
%R 10.18653/v1/W17-4609
%U https://aclanthology.org/W17-4609
%U https://doi.org/10.18653/v1/W17-4609
%P 67-77
Markdown (Informal)
[Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks](https://aclanthology.org/W17-4609) (Loukina et al., 2017)
ACL