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Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems
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Electronic Engineering and Computer Science
Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems
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School of Electronic Engineering and Computer Science
Electronic Engineering and Computer Science
Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems
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Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems
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Authors
Maier, A; HOUGH, J; Schlangen, D; InterSpeech 2017
URI
https://qmro.qmul.ac.uk/xmlui/handle/123456789/55075
Collections
Electronic Engineering and Computer Science
[3422]
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2017 ISCA