呼叫体验:一种评估对话系统及其自动预测的方法

Keelan Evanini, P. Hunter, J. Liscombe, David Suendermann-Oeft, K. Dayanidhi, R. Pieraccini
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引用次数: 32

摘要

本文介绍了一种评价语音对话系统性能的主观指标——呼叫体验(CE)。CE是一种有用的度量,可用于跟踪部署中系统的总体性能,以及隔离系统性能不佳的个别有问题的调用。所提出的CE度量不同于过去提出的大多数性能评估度量,因为它是a)对呼叫进行主观的定性评价,以及b)由外部的专家听众提供,而不是呼叫者自己。在一项实验中,一组人类专家把同样的电话听了三遍,结果被呈现出来。这些结果表明,尽管任务具有主观性,但不同听者之间的一致性很高,这一事实证明了使用语言表达作为标准度量的有效性。最后,使用客观测量的自动评级系统显示出与人类相同的高水平。这是一个重要的进步,因为它提供了一种减少与生产可靠CE相关的人力成本的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Caller Experience: A method for evaluating dialog systems and its automatic prediction
In this paper we introduce a subjective metric for evaluating the performance of spoken dialog systems, caller experience (CE). CE is a useful metric for tracking the overall performance of a system in deployment, as well as for isolating individual problematic calls in which the system underperforms. The proposed CE metric differs from most performance evaluation metrics proposed in the past in that it is a) a subjective, qualitative rating of the call, and b) provided by expert, external listeners, not the callers themselves. The results of an experiment in which a set of human experts listened to the same calls three times are presented. The fact that these results show a high level of agreement among different listeners, despite the subjective nature of the task, demonstrates the validity of using CE as a standard metric. Finally, an automated rating system using objective measures is shown to perform at the same high level as the humans. This is an important advance, since it provides a way to reduce the human labor costs associated with producing a reliable CE.
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