Young-Giu Jung

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In this paper, a valid frequency range of throat signal analyses is presented. Compare to speech signals, the throat signals have many differences in the amount of information. In this context, targeting on throat signals to find valid frequency range is one of the most important analyses for the development of new breed of feature extraction algorithm. In(More)
This paper addresses the automatic classification of X-rated videos by analyzing its obscene sounds. In this paper, we propose the optimized repeated curve-like spectrum feature for classifying obscene sounds and the skip-and-analysis processing for classifying videos. The optimized repeated curve-like spectrum feature uses the longer frame size for(More)
Hand activity and speech comprise the most important modalities of human-to-agent interaction. So a multimodal interface can achieve more natural and effective human-agent interaction. In this paper, we suggest a novel technique for improving the performance of accelerometer-based hand activity recognition system using fusion of speech. The speech data is(More)
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