Incremental Dialogue Processing in a Micro-Domain

Incremental Dialogue Processing in a Micro-Domain
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微域中的增量对话处理

DOI:
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发表时间:
2009
期刊:
Conference of the European Chapter of the Association for Computational Linguistics
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:
Gabriel Skantze;David Schlangen

文献摘要

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本文描述了一种完全增量的对话系统,可以在简单的领域(数字听写)中进行对话。由于它使用增量语音识别和韵律分析,系统可以在用户说话时给出快速反馈,延迟非常短,约为 200 毫秒。由于它使用增量语音合成和自我监控,因此系统可以在系统说话时对用户的反馈做出反应。比较评估表明,与非增量版本相比,天真的用户更喜欢该系统,并且它被认为更人性化。
This paper describes a fully incremental dialogue system that can engage in dialogues in a simple domain, number dictation. Because it uses incremental speech recognition and prosodic analysis, the system can give rapid feedback as the user is speaking, with a very short latency of around 200ms. Because it uses incremental speech synthesis and self-monitoring, the system can react to feedback from the user as the system is speaking. A comparative evaluation shows that naive users preferred this system over a non-incremental version, and that it was perceived as more human-like.