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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Enabling Embodied Analogies in Intelligent Music Systems ... Paolizzo, Fabio. - : arXiv, 2017 Abstract: The present methodology is aimed at cross-modal machine learning and uses multidisciplinary tools and methods drawn from a broad range of areas and disciplines, including music, systematic musicology, dance, motion capture, human-computer interaction, computational linguistics and audio signal processing. Main tasks include: (1) adapting wisdom-of-the-crowd approaches to embodiment in music and dance performance to create a dataset of music and music lyrics that covers a variety of emotions, (2) applying audio/language-informed machine learning techniques to that dataset to identify automatically the emotional content of the music and the lyrics, and (3) integrating motion capture data from a Vicon system and dancers performing on that music. ... : 4 pages ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Human-Computer Interaction cs.HC; Information Retrieval cs.IR; Machine Learning cs.LG; Multimedia cs.MM URL: https://dx.doi.org/10.48550/arxiv.1712.00334 https://arxiv.org/abs/1712.00334 BASE Hide details

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