Towards robust spoken dialogue systems using large-scale in-car speech corpus

Abstract

Researchers of the CIAIR project at Nagoya University have constructed a data collection vehicle and have collected about 179 hours of multi-modal data. Speech data from about 800 subjects have been transcribed and speech intentions, dependency structures, and dialogue structures to the text data have been annotated. Various research activities within the project 's scope are continuing using the annotated data such as speech intention understanding and speaker's knowledge acquisition. In this chapter, we introduce these research activities and present the several findings from the in-car speech corpus.