Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems

Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems
复制标题

面向情景口语对话系统的深度回合结束预测

DOI:
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发表时间:
2017
期刊:
Interspeech
影响因子:
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通讯作者:
David Schlangen
David Schlangen
中科院分区:
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文献类型:
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作者:
A. Maier;Julian Hough;David Schlangen

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这项工作得到了比勒菲尔德大学卓越认知交互技术集群“CITEC”(EXC 277)的支持,由德国研究基金会(DFG)和DFG资助的决斗项目(授予SCHL 845/5-1)资助。
This work was supported by the Cluster of Excellence Cognitive Interaction Technology ‘CITEC’ (EXC 277) at Bielefeld University, funded by the German Research Foundation (DFG), and the DFG-funded DUEL project (grant SCHL 845/5-1).