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Modeling musically meaningful choreography | IEEE Conference Publication | IEEE Xplore

Modeling musically meaningful choreography


Abstract:

An automated choreographer is proposed to choose musically expressive dance moves, with a randomized move selection to preclude prediction by judges or audiences. Dance m...Show More

Abstract:

An automated choreographer is proposed to choose musically expressive dance moves, with a randomized move selection to preclude prediction by judges or audiences. Dance moves and music bars are scored on emotional attribute scales. At each bar, an optimization model ranks the move alternatives on their musical appropriateness, and a move is selected from a distribution biased towards the highest ranked moves. This biased distribution is discovered from performer-created dance routines, and the optimization model is validated by consistent bias across routines. The role of surprise in music and dance is also examined. The automated choreographer will find application in any setting in which optimizing some objective must be balanced with retaining the element of surprise.
Date of Conference: 10-13 October 2004
Date Added to IEEE Xplore: 07 March 2005
Print ISBN:0-7803-8566-7
Print ISSN: 1062-922X
Conference Location: The Hague, Netherlands

References

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