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Automatic creation of scenarios for evaluating spoken dialogue systems via user-simulation

机译:通过用户模拟自动创建用于评估口语对话系统的方案

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This paper proposes a novel technique to create scenarios that can be used by a user simulator for exhaustively evaluating spoken dialogue systems. The scenarios are automatically created from simple scenario-templates that the systems' developers create manually employing their knowledge about typical goals of the system's users. The scenarios contain goals, which the user simulator will try to achieve through the interaction with the systems. The goals are represented in the form of semantic frames, which are associated with user utterances of sentences and are taken from utterance corpora. In this way, the scenarios enable speech-based interaction between the simulator and the spoken dialogue systems to be evaluated. Experiments have been carried out employing two spoken dialogue systems (Saplen and Viajero), a user simulator and two utterance corpora previously collected for two different application domains: fast-food ordering and bus travel information. Experimental results show that the technique has been useful for exhaustively evaluating the systems and finding out problems in their performance that must addressed to improve them. Some of these problems are caused by acoustic similarity between some uttered words and strong speaker accents. Thus, we think these problems would have been difficult to uncover employing the user simulation techniques typically used nowadays, as they do not employ real speech and just consider semantics of user intentions. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了一种新颖的技术来创建可由用户模拟器用于详尽评估口语对话系统的方案。这些场景是通过简单的场景模板自动创建的,系统开发人员可以利用他们对系统用户典型目标的了解来手动创建这些场景模板。这些场景包含目标,用户模拟器将通过与系统的交互来尝试实现这些目标。目标以语义框架的形式表示,该框架与用户的句子发音相关联,并取自于语料库。通过这种方式,方案可以评估模拟器和口头对话系统之间基于语音的交互。已经使用两个口语对话系统(Saplen和Viajero),一个用户模拟器和先前为两个不同的应用领域收集的两个话语语料库进行了实验:快餐点餐和公共汽车旅行信息。实验结果表明,该技术可用于详尽评估系统并找出必须改善的性能问题。这些问题中的一些是由于某些说出的单词与说话人的口音很强之间的声学​​相似性引起的。因此,我们认为使用当今通常使用的用户模拟技术很难发现这些问题,因为它们不采用真实的语音,而只是考虑用户意图的语义。 (C)2016 Elsevier B.V.保留所有权利。

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