20 research outputs found

    Haptography: Capturing and Recreating the Rich Feel of Real Surfaces

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    Haptic interfaces, which allow a user to touch virtual and remote environments through a hand-held tool, have opened up exciting new possibilities for applications such as computer-aided design and robot-assisted surgery. Unfortunately, the haptic renderings produced by these systems seldom feel like authentic re-creations of the richly varied surfaces one encounters in the real world. We have thus envisioned the new approach of haptography, or haptic photography, in which an individual quickly records a physical interaction with a real surface and then recreates that experience for a user at a different time and/or place. This paper presents an overview of the goals and methods of haptography, emphasizing the importance of accurately capturing and recreating the high frequency accelerations that occur during tool-mediated interactions. In the capturing domain, we introduce a new texture modeling and synthesis method based on linear prediction applied to acceleration signals recorded from real tool interactions. For recreating, we show a new haptography handle prototype that enables the user of a Phantom Omni to feel fine surface features and textures

    Automatic recognition of speakers from their voices

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    Improving Speaker Recognition by Training on Emotion-Added Models

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    An Approach to Design an Intelligent Parametric Synthesizer for Emotional Speech

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    Speech

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    A Study on High-Order Hidden Markov Models and Applications to Speech Recognition

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    Bilinear Time Series Model as an Alternative Way of Speaker Modeling

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    Hearing versus seeing identical twins

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    10.1007/978-3-642-40261-6_16Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)8047 LNCSPART 1137-14
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