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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
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