2 research outputs found
Electroacoustic performance interfaces that learn from their users
We present preliminary outcomes of a feasibility study of a novel application of machine learning technology to the sound diffusion work of an electroacoustic composer/performer. We propose a simple but effective visualisation method for diffusion data, and present evidence that simple learning technology can learn the necessary structure to facilitate diffusion performance
Design Strategies for Adaptive Social Composition: Collaborative Sound Environments
In order to develop successful collaborative music systems a variety
of subtle interactions need to be identified and integrated. Gesture
capture, motion tracking, real-time synthesis, environmental
parameters and ubiquitous technologies can each be effectively used
for developing innovative approaches to instrument design, sound
installations, interactive music and generative systems. Current
solutions tend to prioritise one or more of these approaches, refining
a particular interface technology, software design or compositional
approach developed for a specific composition, performer or
installation environment. Within this diverse field a group of novel
controllers, described as âTangible Interfacesâ have been developed.
These are intended for use by novices and in many cases follow a
simple model of interaction controlling synthesis parameters through
simple user actions. Other approaches offer sophisticated
compositional frameworks, but many of these are idiosyncratic and
highly personalised. As such they are difficult to engage with and
ineffective for groups of novices. The objective of this research is to
develop effective design strategies for implementing collaborative
sound environments using key terms and vocabulary drawn from the
available literature. This is articulated by combining an empathic
design process with controlled sound perception and interaction
experiments. The identified design strategies have been applied to
the development of a new collaborative digital instrument. A range
of technical and compositional approaches was considered to define
this process, which can be described as Adaptive Social Composition.
Dan Livingston