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CIAIR, Nagoya University, has been compiling an in-car speech database since 1999. This paper discusses the basic information contained in this database and an analysis on the effects of driving status based on the database. We have developed a system called the Data Collection Vehicle(DCV), which supports synchronous recording of multichannel audio data from 12 microphones which can be placed throughtout the vehicle, multi-channel video recording from three cameras, and the collection of vehicle-related data. In the complication process, each subject had conversations with three types of dialog system : a human, a "Wizard of OZ" system, and a spoken dialog system. Vehicle information such as speed, engine RPM, accelerator/brake-pedal pressure, and steering-wheel motion were also recorded. In this paper, we report on the effect that driving status has on phenomena specific to spoken language.
Nobuo Kawaguchi (Tue,) studied this question.