Prototyping machine learning through diffractive art practice
In this paper, we outline a diffractive practice of machine learning (ML) in the frame of
material-centered interaction design. To this aim, we review related work in ML, HCI, design …
material-centered interaction design. To this aim, we review related work in ML, HCI, design …
Interactive machine learning of musical gesture
This chapter presents an overview of Interactive Machine Learning (IML) techniques applied
to the analysis and design of musical gestures. We go through the main challenges and …
to the analysis and design of musical gestures. We go through the main challenges and …
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 …
(ML) to apply for various tasks such as gesture-sound mapping or sound synthesis for digital …
InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media
Interactive Machine Learning offers a method for designing movement interaction that
supports creators in implementing even complex movement designs in their immersive …
supports creators in implementing even complex movement designs in their immersive …
Gesture-timbre space: Multidimensional feature mapping using machine learning and concatenative synthesis
This chapter explores three systems for mapping embodied gesture, acquired with
electromyography and motion sensing, to sound synthesis. A pilot study using granular …
electromyography and motion sensing, to sound synthesis. A pilot study using granular …
Designing gestures for continuous sonic interaction
We present a system that allows users to try different ways to train neural networks and
temporal modelling to asso-ciate gestures with time-varying sound. We created a soft-ware …
temporal modelling to asso-ciate gestures with time-varying sound. We created a soft-ware …
[PDF][PDF] Webchuck: Computer music programming on the web
WebChucK is ChucK—a strongly-timed computer music programming language—running
on the web. Recent advancements in browser technology (including WebAssembly and the …
on the web. Recent advancements in browser technology (including WebAssembly and the …
[PDF][PDF] Supporting Interactive Machine Learning Approaches to Building Musical Instruments in the Browser.
L McCallum, M Grierson - NIME, 2020 - nime.org
Interactive machine learning (IML) is an approach to building interactive systems, including
DMIs, focusing on iterative end-user data provision and direct evaluation. This paper …
DMIs, focusing on iterative end-user data provision and direct evaluation. This paper …
User-centred design actions for lightweight evaluation of an interactive machine learning toolkit
Abstract Machine learning offers great potential to developers and end users in the creative
industries. For example, it can support new sensor-based interactions, procedural content …
industries. For example, it can support new sensor-based interactions, procedural content …
[PDF][PDF] Towards assisted interactive machine learning: exploring gesture-sound mappings using reinforcement learning
We present a sonic interaction design approach that makes use of deep reinforcement
learning to explore many mapping possibilities between input sensor data streams and …
learning to explore many mapping possibilities between input sensor data streams and …