Construction of dialog database for development of spoken dialog breakdown detection methods

Kazuaki Kajinami, Ryota Nishimura, N. Kitaoka
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Abstract

When talking with a spoken dialog system, the dialog often breaks down, and after that, the user cannot continue the dialog anymore because the system cannot know the breakdown. In order to recover from breakdown quickly, it is necessary to detect the dialog breakdown. Indeed some textbased dialog breakdown detector has been developed, there are no dialog breakdown detectors for spoken dialog systems. In addition, there was no dialog speech database to investigate dialog breakdown detectors for spoken dialog systems.So, we construct a dialog speech database which includes spoken dialog breakdowns. From the analysis of the database, we could observe many spoken dialog-specific breakdowns.
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构建对话数据库,开发口语对话故障检测方法
当与口语对话系统交谈时,对话经常会中断,之后,用户无法继续对话,因为系统无法知道故障。为了从崩溃中快速恢复,有必要检测对话框崩溃。的确,一些基于文本的对话故障检测器已经被开发出来,但还没有针对口语对话系统的对话故障检测器。此外,没有对话语音数据库来研究口语对话系统的对话故障检测器。因此,我们构建了一个包含口语对话分解的对话语音数据库。通过对数据库的分析,我们可以观察到许多特定于口语对话的细分。
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