Over the last five years, KIMA, an art and research project on sound and vision, has investigated visual properties of sound. Previous iterations of KIMA focused on digital representations of cymatics—physical sound patterns—as media for performance. The most recent development incorporated neural networks and machine learning strategies to explore visual expressions of sound in participatory music creation. The project, displayed on a 360-degree canvas at the London Roundhouse, prompted the audience to explore their own voice as intelligent, real-time visual representation. Machine learning algorithms played a key role in meaningful interpretation of sound as visual form. The resulting immersive performance turned the audience into cocreators of the piece.
The Voice propose a sonic and visual composition as act of co-creation, an 'open work' to which everyone can contribute. We invite participants to experience tonal harmonies between one another. With KIMA: The Voice, we are looking to embed means and ways of measuring audience participation during creative engagement.
KIMA: Noise is a participatory art piece inviting audiences to explore impact of urban noises interactively. Using specific urban sound sources, the audience experiences noise as spatial soundscapes, responding to it, physically engaging and interacting with it. KIMA: Noise creates awareness for the phenomenon of noise pollution. The paper looks at preeminent research in the field, and draws conclusions of how sound affects us as individuals. The art project KIMA: Noise is introduced technically and conceptually.Visual sound. Participatory art. Visual sound installation. Noise pollution.
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