The Gen-Synth: A generative granular synthesizer.

Authors

Veronica Gesteira Souza

Files

Abstract

In recent years, the development of generative AI models that are able to generate high quality audio has opened a new world of opportunities in the field of sound synthesis for musical applications. The possibilities inaugurated by this emerging technology, however, are only beginning to be investigated. In this work, Gen-Synth, a synthesizer combining generative timbre transfer and granular synthesis is proposed in order to further explore the artistic implications of AI in sound design. The work was developed by training a popular neural synthesis model - RAVE (Realtime Audio Variational autoEncoder) - with a library composed of Brazilian percussion recordings. Later, the trained model was used to develop a Max for Live device that combined a timber transfer module with a granular synthesis module. Finally, some user testing was performed, and feedback was gathered for future improvement.

Publication Date

7-1-2025

Campus

Valencia (Spain) Campus

Keywords

sound synthesis; generative AI; generative music

Award

With Distinction

Recommended Citation

Gesteira Souza, Veronica. “The Gen-Synth: A generative granular synthesizer..” Master's thesis, Berklee College of Music, 2025. https://remix.berklee.edu/graduate-studies-production-technology/428.