Browsing Centre for Digital Music (C4DM) by Title
Now showing items 42-61 of 210
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Composing first species counterpoint with a variable neighbourhood search algorithm
(2012-12-26)In this article, a variable neighbourhood search (VNS) algorithm is developed that can generate musical fragments consisting of a melody for the cantus firmus and the first species counterpoint. The objective function of ... -
A computational study on outliers in world music
(2017-12-18) -
Dance Hit Song Prediction
(2014-07-03)© 2014, © 2014 Taylor & Francis. Record companies invest billions of dollars in new talent around the globe each year. Gaining insight into what actually makes a hit song would provide tremendous benefits for the music ... -
Deep Learning and Music Adversaries
(IEEE Explore, 2015-09-10)An {\em adversary} is essentially an algorithm intent on making a classification system perform in some particular way given an input, e.g., increase the probability of a false negative. Recent work builds adversaries for ... -
Deep Learning, Audio Adversaries, and Music Content Analysis
We present the concept of {\em adversarial audio} in the context of deep neural networks (DNNs) for music content analysis. An adversary is an algorithm that makes minor perturbations to an input that cause major repercussions ... -
Design and use of a hackable digital instrument
(2014)This paper introduces the D-Box, a new digital musical instrument specifically designed to elicit unexpected creative uses and to support modification by the performer. Rather than taking a modular approach, the D-Box is ... -
Designing with and for people living with visual impairments: audio-tactile mock-ups, audio diaries and participatory prototyping
(2015-01-01)© 2015 Taylor & Francis. Methods used to engage users in the design process often rely on visual techniques, such as paper prototypes, to facilitate the expression and communication of design ideas. The visual nature of ...