Measurement and analysis of speech data toward improving service in restaurant

In this paper, we introduce human behavior sensing and data collection tequniques in a real environment. In order to improve worker's skill and service quality, it is desired to analyse and visualize worker's behavior scientifically. We acquired multi-sensored data and speech data of wait staffs in a restaurant for several months. Our goal is to combine these data, to analyse objectively and finally to improve their behavior and service. The speech data is useful to detect their speech events and spoken contents. To collect speech data in real-environment is a difficult task because of recording environment and load to the subjects. This paper focuses on collection of speech and discusses the issue of its measurement and analysis. We also apply VAD(Voice activity detection) for speech data and calculate their speech ratio. The speech ratio has a certain inclination related to their operations. The change of speech ratio expresses the efficiency of QC(Quality control) activity.