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Emotional remapping of music to facial animation

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Author: Arya, Ali
We propose a method to extract the emotional data from a piece
of music and then use that data via a remapping algorithm to
automatically animate an emotional 3D face sequence. The
method is based on studies of the emotional aspect of music and
our parametric-based behavioral head model for face animation.
We address the issue of affective communication remapping in
general, i.e. translation of affective content (eg. emotions, and
mood) from one communication form to another. We report on
the results of our MusicFace system, which use these techniques
to automatically create emotional facial animations from multiinstrument
polyphonic music scores in MIDI format and a
remapping rule set. ? ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive
version was published in Proceedings of the 2006 ACM SIGGRAPH symposium on Videogames, 143-149. Boston, Massachusetts: ACM. doi:10.1145/1183316.1183337
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