Considering roughness to describe and generate vertical musical structure in content-based algorithmic-assisted audio composition

dc.contributor.author	Gilberto Bernardes Almeida	en
dc.contributor.author	Matthew Davies	en
dc.contributor.author	Guedes,C	en
dc.contributor.author	Pennycook,B	en
dc.date.accessioned	2017-11-20T10:43:41Z
dc.date.available	2017-11-20T10:43:41Z
dc.date.issued	2014	en
dc.description.abstract	This paper examines the correlation between musical dissonance and auditory roughness-the most significant factor of psychoacoustic dissonance- and the contribution of the latter to algorithmic composition. We designed an empirical study to assess how auditory roughness correlates with human judgments of dissonance in natural musical stimuli on the sound object time scale. The results showed a statistically significant correlation between roughness and listeners' judgments of dissonance for quasi-harmonic sounds. This paper concludes by presenting two musical applications of auditory roughness in algorithmic composition, in particular to supervise the vertical recombination of sound objects in the software earGram. Copyright:	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/3584
dc.language	eng	en
dc.relation	5496	en
dc.relation	6231	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	Considering roughness to describe and generate vertical musical structure in content-based algorithmic-assisted audio composition	en
dc.type	conferenceObject	en
dc.type	Publication	en