Synesthesizer: Physical Modelling and Machine Learning for a Color-Based Synthesizer in Virtual Reality

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Abstract

The Synesthesizer is a software synthesizer inspired to chromesthesia, that kind of synesthesia that connects sounds and colors. While chromesthesia usually produces color perception in response to sound stimulation, this synthesizer does the opposite: sound is generated according to color detection. More precisely, RGB (Red Green Blue) values are detected (one pixel at a time) and used to determine the behaviour of five physical models for virtual instruments. The motivation for creating such a synthesizer arose from the will to generate a timbral continuum out of the color continuum, allowing to explore the relation between color spectrum and sound spectrum. The Synesthesizer has two additional possible applications: A picture can become a sort of score; graphic scores can have a different source of interpretation;Given its intuitiveness, it might allow even non-experts to explore the possibilities of sound synthesis. The current version has been developed in a Virtual Reality (VR) environment.

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APA

Santini, G. (2019). Synesthesizer: Physical Modelling and Machine Learning for a Color-Based Synthesizer in Virtual Reality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11502 LNAI, pp. 229–235). Springer Verlag. https://doi.org/10.1007/978-3-030-21392-3_18

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