id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_2ip4tri33vfdbfxs5spwnrl2ji	Sebastian Streich	Automatic Characterization of Music Complexity a multi-faceted approach	2005	82	.pdf	application/pdf	24939	2077	62	After giving some background information about the motivation for this research, we will discuss examples of practical applications, such as collection visualization, playlist generation, and music recommendation. the pure digital audio data and the semantic concepts describing the content offers much more natural ways of searching in music collections than it is currently models capturing aspects of music complexity were already proposed in the literature, but that their application to the task we have in mind is problematic or at different facets of music complexity can be approached from the computational It is the goal of this research work to provide operational models for the automated computation of music complexity as it is perceived1 by human listeners. We pointed out in section 3.2 that according to Berlyne's theory of arousal potential [Ber71] the level of perceived complexity of a piece of music can be associated Following the review of computing different complexity facets of musical audio,	./cache/work_2ip4tri33vfdbfxs5spwnrl2ji.pdf	./txt/work_2ip4tri33vfdbfxs5spwnrl2ji.txt