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Research

Information about some of the key research projects at the Intelligent Instruments Lab.

Agential Scores

Jack Armitage

Entangling instruments with agential simulations.

Embedded Machine Learning on Bela

Ezra Pierce, and Victor Shepardson and Jack Armitage

Enabling next-generation embedded instruments.

E-textiles

Sophie Skach

E-textiles as musical interfaces.

Halldorophone

Halldor Úlfarsson

The halldorophone is a cello-like feedback instrument.

Proto-Langspil

Thor Magnusson, Jack Armitage, and Halldor Ulfarsson and Victor Shepardson

The Proto-Langspil is a feedback instrument with intelligent behaviour.

The Living Looper

Victor Shepardson

Rethinking the Musical Loop as a Machine Action-Perception Loop.

Manetic Scores

Nicola Privato

A somatosensory interface for music performance and composition.

Notochord

Victor Shepardson

Notochord is a MIDI model for live performance.

Organolib

Thor Magnusson, Jack Armitage, and Halldor Ulfarsson and Sean O'Brien

The IIL library of technical elements.

Pluma

Giacomo Lepri, Halldor Úlfarsson, and Victor Shepardson and Thor Magnusson

Practice-based research on the ways we make sense of AI in creative settings.

Scramble

Nicola Privato

Scramble is creative MIDI tool for performance and aided composition

Semilla AI

Moisés Horta Valenzuela

Multidimensional exploration through sonic clairvoyance

Stacco

Nicola Privato and Giacomo Lepri

Stenophone

Jack Armitage

The Stenophone is a musical instrument for live coding.

Threnoscope

Thor Magnusson

The Threnoscope is a live coding environment for long durations.

Txalaparta

Karl Jóhann Jóhannsson, Victor Shepardson, and Enrique Hurtado and Thor Magnusson

The txalaparta is an ancient Basque percussion instrument.

AI Voice Synthesis

Victor Shepardson

A series of collaborations between IIL and voice artists.

European Research Council

The Intelligent Instruments project (INTENT) is funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101001848).