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A real-time sound localization/separation system for near-eld sound sources was constructed and evaluated in a real oce environment. As for the sound localization, the experimental results showed that the direction of the two sources was estimated with high accuracy while the range of the sources was estimated with moderate accuracy. As for the sound(More)
In this paper, a large-scale real-world speech database is introduced along with other multimedia driving data. We designed a data collection vehicle equipped with various sensors to synchronously record twelve-channel speech, three-channel video, driving behavior including gas and brake pedal pressures, steering angles, and vehicle velocities,(More)
A gene finding system, GeneDecoder, based on a parsing technique using a stochastic grammar and dictionary of genetic words is introduced. The structure of human genes are expressed by a stochastic grammar and a dictionary, whose components are the genetic words consisting of genetic phonemes, built as hidden Markov models (HMMs). The HMMs represent the(More)
In this paper, we investigate the answer type detection methods for realizing the Universal Question Answering (UQA), which returns an answer for any given question. For this purpose, the questions collected from a WWW question portal community site were analyzed to see how many kinds of questions were submitted in the real world. Then, we introduce the(More)
While recent retrieval techniques do not limit the number of index terms, out-of-vocabulary (OOV) words are crucial in speech recognition. Aiming at retrieving information with spoken queries, we fill the gap between speech recognition and text retrieval in terms of the vocabulary size. Given a spoken query, we generate a transcription and detect OOV words(More)
This paper describes a method for automatically detecting filled (vocalized) pauses, which are one of the hesitation phenomena that current speech recognizers typically cannot handle. The detection of these pauses is important in spontaneous speech dialogue systems because they play valuable roles, such as helping a speaker keep a conversational turn, in(More)
SUMMARY In this paper, we propose a driver identification method that is based on the driving behavior signals that are observed while the driver is following another vehicle. Driving behavior signals, such as the use of the accelerator pedal, brake pedal, vehicle velocity, and distance from the vehicle in front, were measured using a driving simulator. We(More)