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Instrumental Radiation Patterns as Models for Corpus-Based Spatial Sound Synthesis: Cosmologies for Piano and 3D Electronics

Einbond, A. ORCID: 0000-0003-1734-6641, Bresson, J., Schwarz, D. and Carpentier, T. (2021). Instrumental Radiation Patterns as Models for Corpus-Based Spatial Sound Synthesis: Cosmologies for Piano and 3D Electronics. Paper presented at the International Computer Music Conference 2021, 25-31 Jul 2021, Santiago, Chile.

Abstract

The Cosmologies project aims to situate the listener inside a virtual grand piano by enabling computer processes to learn from the spatial presence of the live instrument and performer. We propose novel techniques that leverage mea- surements of natural acoustic phenomena to inform spatial sound composition and synthesis. Measured radiation pat- terns of acoustic instruments are applied interactively in response to a live input to synthesize spatial forms in real time. We implement this with software tools for the first time connecting audio descriptor analysis and corpus-based syn- thesis to spatialization using Higher-Order Ambisonics and machine learning. The resulting musical work, Cosmologies for piano and 3D electronics, explodes the space inside the grand piano out to the space of the concert hall, allowing the listener to experience its secret inner life.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: Copyright: ©2021 Aaron Einbond et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Subjects: M Music and Books on Music
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Arts & Social Sciences > Music
Date available in CRO: 17 Jun 2021 13:15
Date deposited: 17 June 2021
Date of acceptance: 14 May 2021
Date of first online publication: 31 July 2021
URI: https://openaccess.city.ac.uk/id/eprint/26295
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