Machine learning
Projets
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Project
Dicy2 for Live
Dicy2 is both a package for Max and a plugin for Ableton Live implementing interactive agents using machine-learning to generate musical sequences th…
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Project
Dicy2
Dicy2 is both a package for Max and a plugin for Ableton Live implementing interactive agents using machine-learning to generate musical sequences th…
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Project
AudioStellar
AudioStellar is a free experimental sampler that uses AI to generate a 2D constellation map from a folder with audio samples. The sounds samples incl…
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Project
Music to Image Interpolation
Generative AI pipeline that produces image interpolations from an audio track, leveraging Stable Diffusion technology.
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Project
Gestural Sound Toolkit
Toolkit in Max/MSP for gesture-to-sound scenario prototyping.
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Project
GIMLeT
GIMLeT – Gestural Interaction Machine Learning Toolkit - A set of Max patches for gesture analysis, interactive machine learning, and gesture-sound i…
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Project
FluCoMa
The Fluid Corpus Manipulation project (FluCoMa) instigates new musical ways of exploiting ever-growing banks of sound and gestures within the digital…
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Project
Flow Synthetizer
Sound synthesizers are pervasive in music and they now even entirely define new music genres. However, their complexity and sets of parameters render…
Articles
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Article
MYcorrhizal - Laura Selby, Yueshen Wu, Devanshi Rungta
Presented during the IRCAM Forum Workshops 2023 in Paris.
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Article
Study No°1 for AI Ensemble
This is the first of a series of exploratory compositions written for a group of AI performers. The ensemble consists of 2 violins, 2 flutes, viola a…
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Article
AudioStellar, an open source corpus-based musical instrument for latent sound structure discovery and sonic experimentation by Agustin Spinetto
AudioStellar is a free experimental sampler that uses AI to generate a 2D point map from a folder with audio samples. The sounds included in the map …
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Article
Automated 3D Audio Control and Remixing System by Seungryeol Paik
This research presents a data-driven system for automated spatial audio remixing in 5th-order ambisonic formats, utilizing deep learning and machine …
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Article
Emotion-Driven audio and multimédia generation using brain-computer interfaces and deep learning - Fabrizio Festa, Tommaso Colafiglio, Tommaso Di Noia
This research explores a system that integrates Brain-Computer Interfaces (BCIs) with our proprietary advanced machine learning and deep learning mod…