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Automatic for the people: Two pieces of crowd-driven music (2021)
Exhibition / Performance
Nash, C. Automatic for the people: Two pieces of crowd-driven music. [http://nash.audio/manhattan/tenor2020/performance.mp4]. Performed at Hamburg, Germany. 10 May 2021 - 13 May 2021. (Unpublished)

A video presenting excepts from two pieces of live generative works developed for BBC Music Day 2018, performed continuously throughout the day on the busy main platform of Bristol railway station. Both pieces are generated (and played) live using th... Read More about Automatic for the people: Two pieces of crowd-driven music.

Unsupervised one-class learning for anomaly detection on home IoT network devices (2021)
Conference Proceeding
White, J., & Legg, P. (in press). Unsupervised one-class learning for anomaly detection on home IoT network devices

In this paper we study anomaly detection methods for home IoT devices. Specifically, we address unsupervised one-class learning methods due to their ability to learn deviations from a single normal class. In a home IoT environment, this consideration... Read More about Unsupervised one-class learning for anomaly detection on home IoT network devices.

Creativity in children's digital music composition (2021)
Conference Proceeding
Nash, C., Ford, C., & Bryan-Kinns, N. (in press). Creativity in children's digital music composition

Composing is a neglected area of music education. To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papert’s LOGO philosophy (to support children’s learning through p... Read More about Creativity in children's digital music composition.

Bespoke anywhere (2021)
Conference Proceeding
Challinor, R., & Gaster, B. (in press). Bespoke anywhere

This paper reports on a project aimed to break away from the portability concerns of native DSP code between different platforms, thus freeing the instrument designer from the burden of porting new Digital Musical Instruments (DMIs) to different arch... Read More about Bespoke anywhere.

Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision (2021)
Conference Proceeding
Nash, C. (in press). Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

Audio Anywhere with Faust (2020)
Conference Proceeding
Gaster, B. R., & Cole, M. (2020). Audio Anywhere with Faust

This paper introduces \emph{Audio Anywhere} (\emph{AA}), a framework for working with audio plugins that are compiled once and run anywhere. At the heart of Audio Anywhere is an audio engine whose Digital Signal Processing (DSP) components are writte... Read More about Audio Anywhere with Faust.

Topologies #1 (2020)
Exhibition / Performance
Artists, U. V., & Meckin, D. Topologies #1. [Audio-visual Installation]. 29 August 2020 - 30 June 2021. (Unpublished)

A new installation artwork that continues UVA’s explorations of sensory experiences through the lenses of technology. The first of a new series of works, Topologies #1 consists of five kinetic sculptures that project planes of light stretching acr... Read More about Topologies #1.