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

  • Giovanni SantiniEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11502)

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.

Keywords

Synesthesia Synthesizer Physical modeling Machine Learning Virtual reality 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Hong Kong Baptist UniversityKowloon TongHong Kong

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