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Article
Current directions in computer music software development at sonicLAB by Sinan Bokesoy
We are excited to present our newest release and upcoming titles, all of which focus on artificial network synthesis through input sound analysis.
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"rosebud": Working with motion sensor data in audio and video post-production by Matthias Krüger
"rosebud" exemplifies an approach to hybrid composition methodologies: As a transdisciplinary composition between dance and music for dancer, sensors…
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Bridging Audio, Visual, and AI Domains using the Elixir language, by Thibaut Barrère
This research project focuses on developing an integrated framework for music technology, leveraging Elixir to create a comprehensive ecosystem for a…
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Quantum Fields Synthesis by Robert B. Lisek
Quantum Fields Synthesis represents a novel approach to sound generation using quantum physics, particularly quantum field theory, as fundamental bui…
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Artists & Engineers: How We Communicate – Behind the Scenes of Sound Art (Installation/Theatre) with Multichannel Audio by Miyu Hosoi
This artist talk by sound artist Miyu Hosoi will explore the process of creating large-scale sound installations and stage productions. She will disc…
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Latent Terrain: Dissecting the Latent Space of Neural Audio Autoencoders by Shuoyang Jasper Zheng
Exploring musical affordances of neural networks beyond their task-oriented capabilities and deriving sonic materials for musical expressions.
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Modeling variations in onsets and dynamics in music performances by Pablo Alvarado
Abstract of the poster: Modeling Variations in Onsets and Dynamics in Music Performances, by Pablo Alvarado. To be presented at the IRCAM Forum Works…
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RAVE Model Challenge - Proposals
This page presents some sound results from the RAVE Model Challenge entries, with the aim of helping you choose the best model.
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RAVE Model Challenge - Vote
Cette page décrit le processus de vote, deuxième phase du RAVE Model challenge