Abstract
In this paper we present the outline of a performance in-progress. It brings together the skilled musical practices from Belgian audio collagist Gauthier Keyaerts aka Very Mash’ta; and the realtime, content-based audio browsing capabilities of the AudioCycle and LoopJam applications developed by the remaining authors. The tool derived from AudioCycle named MashtaCycle aids the preparation of collections of stem audio loops before performances by extracting content-based features (for instance timbre) used for the positioning of these sounds on a 2D visual map. The tool becomes an embodied on-stage instrument, based on a user interface which uses a depth-sensing camera, and augmented with the public projection of the 2D map. The camera tracks the position of the artist within the sensing area to trigger sounds similarly to the LoopJam installation. It also senses gestures from the performer interpreted with the Full Body Interaction (FUBI) framework, allowing to apply sound effects based on bodily movements. MashtaCycle blurs the boundary between performance and preparation, navigation and improvisation, installations and concerts.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Frisson, C. et al. (2013). MashtaCycle: On-Stage Improvised Audio Collage by Content-Based Similarity and Gesture Recognition. In: Mancas, M., d’ Alessandro, N., Siebert, X., Gosselin, B., Valderrama, C., Dutoit, T. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-03892-6_14
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DOI: https://doi.org/10.1007/978-3-319-03892-6_14
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