Prilagodljiva ambientalna glasba v javnih prostorih

diplomsko delo

Žiga Kleine (Author), Luka Čehovin (Mentor)

Abstract

V diplomski nalogi je opisan ambientalni inteligentni sistem, katerega center je algoritmični generator ambientalne glasbe. Tega smo izdelali na podlagi kombinacije uveljavljenih algoritmov za generiranje glasbe, skozi čas delovanja pa generira neprekinjen tok ambientalne glasbe in hkrati omogoča nadzor nad lastnostmi generirane glasbe. Lastnosti glasbe se torej skozi čas lahko prilagajajo lastnostim prostora, v katerem se instalacija nahaja, na primer glede na število obiskovalcev, čas dneva, glasnost prostora, itd. Prilagajanje omogoča povratna zanka preko katere poslušalci podajo mnenje o ustreznosti glasbe. Osnovni nabor povratnih informacij smo pridobili s pomočjo spletne ankete, v sklopu katere smo razločili določene povezave med parametri generatorja in merljivimi parametri javnih prostorov. V prihodnje je cilj postavitev sistema v javnem prostoru, nudenje neprekinjene originalne glasbene podlage za obiskovalce ter zajem novih povratnih informacij.

Keywords

algoritmična kompozicija;ambientalna glasba;ambientalna inteligenca;sintetizator;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[Ž. Kleine]
UDC:	004.8:78(043.2)
COBISS:	30973443
Views:	728
Downloads:	133
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Adaptable ambient music in public spaces
Secondary abstract:	The diploma thesis describes an intelligent ambient system, the center of which is an algorithmic generator of ambient music. It is created based on a combination of established algorithms for generating music. Through the time of its operation it generates a continuous flow of ambient music and at the same time enables control over the properties of the generated music. The properties of the music can therefore adapt over time to the properties of the space in which the installation is located, for example to the number of visitors, time of day, loudness of the space, etc. The mapping is provided by a feedback loop, through which listeners give an opinion on the appropriateness of the music. The basic set of feedback data was obtained with the help of an online survey. Based on the survey results, we distinguished certain connections between the parameters of the generator and the measurable parameters of public spaces. In the future, the goal is to set up the system in a public space to provide a continuous original music background for visitors and to capture new feedback.
Secondary keywords:	algorithmic composition;ambient music;ambient intelligence;computer and information science;diploma thesis;
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000468
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	64 str.
ID:	12033203