A comprehensive review of sensors and instrumentation methods in devices for musical expression

CB Medeiros, MM Wanderley - Sensors, 2014 - mdpi.com
Digital Musical Instruments (DMIs) are musical instruments typically composed of a control
surface where user interaction is measured by sensors whose values are mapped to sound …

[HTML][HTML] Embedded ai for nime: Challenges and opportunities

T Pelinski, V Shepardson, S Symons… - … Conference on New …, 2022 - nime.pubpub.org
Cutting edge embedded systems have always been a part of NIME's practices. Low-
resource computing hardware, such as microcontrollers or single-board computers, can be …

Artificial intelligence in music and performance: a subjective art-research inquiry

B Caramiaux, M Donnarumma - Handbook of Artificial Intelligence for …, 2021 - Springer
In many contemporary societies, the pervasiveness of technology is constantly expanding.
From communication to social networks, digital health and welfare services, every aspect of …

Imposing higher-level structure in polyphonic music generation using convolutional restricted boltzmann machines and constraints

S Lattner, M Grachten, G Widmer - Journal of Creative Music …, 2018 - search.informit.org
We introduce a method for imposing higher-level structure on generated, polyphonic music.
A Convolutional Restricted Boltzmann Machine (C-RBM) as a generative model is combined …

Understanding the role of interactive machine learning in movement interaction design

M Gillies - ACM Transactions on Computer-Human Interaction …, 2019 - dl.acm.org
Interaction based on human movement has the potential to become an important new
paradigm of human-computer interaction. However, high quality, mainstream movement …

Probabilistic models for designing motion and sound relationships

J Françoise, N Schnell, R Borghesi… - Proceedings of the 2014 …, 2014 - hal.science
We present a set of probabilistic models that support the design of movement and sound
relationships in interactive sonic systems. We focus on a mapping-by-demonstration …

Machine learning for musical expression: A systematic literature review

T Jourdan, B Caramiaux - New Interfaces for Musical Expression (NIME …, 2023 - hal.science
For several decades NIME community has always been appropriating machine learning
(ML) to apply for various tasks such as gesture-sound mapping or sound synthesis for digital …

Mapping through listening

B Caramiaux, J Françoise, N Schnell… - Computer Music …, 2014 - ieeexplore.ieee.org
Gesture-to-sound mapping is generally defined as the association between gestural and
sound parameters. This article describes an approach that brings forward the perception …

Motion-sound mapping through interaction: An approach to user-centered design of auditory feedback using machine learning

J Françoise, F Bevilacqua - ACM Transactions on Interactive Intelligent …, 2018 - dl.acm.org
Technologies for sensing movement are expanding toward everyday use in virtual reality,
gaming, and artistic practices. In this context, there is a need for methodologies to help …

Artificial intelligence for music composition

AM Gioti - Handbook of Artificial Intelligence for Music …, 2021 - Springer
This chapter explores the potential of Artificial Intelligence (AI) for art music composition,
focusing on how AI can transform musical tasks and shape compositional ideas. In this …