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ERIC Number: EJ1168458
Record Type: Journal
Publication Date: 2017-Dec
Pages: 9
Abstractor: As Provided
ISSN: EISSN-2330-8516
A Multimodal Dialog System for Language Assessment: Current State and Future Directions. Research Report. ETS RR-17-21
Suendermann-Oeft, David; Ramanarayanan, Vikram; Yu, Zhou; Qian, Yao; Evanini, Keelan; Lange, Patrick; Wang, Xinhao; Zechner, Klaus
ETS Research Report Series, Dec 2017
We present work in progress on a multimodal dialog system for English language assessment using a modular cloud-based architecture adhering to open industry standards. Among the modules being developed for the system, multiple modules heavily exploit machine learning techniques, including speech recognition, spoken language proficiency rating, speaker recognition, and the scoring of behaviors in multimodal data streams.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A