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.- Anthology ID:
- W17-4609
- Volume:
- Proceedings of the Workshop on Speech-Centric Natural Language Processing
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Venue:
- WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 67–77
- Language:
- URL:
- https://aclanthology.org/W17-4609
- DOI:
- 10.18653/v1/W17-4609
- Cite (ACL):
- Anastassia Loukina, Nitin Madnani, and Aoife Cahill. 2017. Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks. In Proceedings of the Workshop on Speech-Centric Natural Language Processing, pages 67–77, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks (Loukina et al., 2017)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/W17-4609.pdf