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In sign language, hand positions and movements represent meaning of words. Hence, we have been developing sign language recognition methods using both of hand positions and movements. However, in the previous studies, each feature has same weight to calculate the probability for the recognition. In this study, we propose a sign language recognition method by using a multi-stream HMM technique to show...
In text-independent (TI) speaker identification, the variation of phonetic information strongly affects the performance of speaker identification. If this phonetic information in his/her speech data can be suppressed, a robust TI speaker identification system will be realized by using speech features having less phonetic information. In this paper, we propose a TI speaker identification method that...
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