Coherent Back-Channel Feedback Tagging of In-Car Spoken Dialogue Corpus

Coherent Back-Channel Feedback Tagging of In-Car Spoken Dialogue Corpus
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车内语音对话语料库的连贯后通道反馈标记

DOI：
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发表时间：
2010
期刊：
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通讯作者：
S. Matsubara
S. Matsubara
中科院分区：
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文献类型：
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作者：
Yuki Kamiya;T. Ohno;S. Matsubara

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为了实现高响应性的车内口语对话系统，本文设计了一个反向反馈语料库并对其进行了评价。我们通过在离线环境下使用反向通道反馈定时信息标注现有的车内口语对话数据来构建我们的语料库。该语料库可用于开发具有言语反馈功能的对话系统。评价结果表明，本文提出的设计能够构建具有较高一致性和自然度的反向反馈语料库。
This paper describes the design of a back-channel feedback corpus and its evaluation, aiming at realizing in-car spoken dialogue systems with high responsiveness. We constructed our corpus by annotating the existing in-car spoken dialogue data with back-channel feedback timing information in an off-line environment. Our corpus can be practically used in developing dialogue systems which can provide verbal back-channel feedbacks. As the results of our evaluation, we confirmed that our proposed design enabled the construction of back-channel feedback corpora with high coherency and naturalness.