prikaz prve stranice dokumenta Prepoznavanje tempa pjesme iz glazbenog signala
  Download
PDF 1.31 MB
undergraduate thesis
Prepoznavanje tempa pjesme iz glazbenog signala
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. urn:nbn:hr:200:964565
Mostarac, Irena
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Mostarac, I. (2017). Prepoznavanje tempa pjesme iz glazbenog signala (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:964565

Mostarac, Irena. "Prepoznavanje tempa pjesme iz glazbenog signala." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:964565

Mostarac, Irena. "Prepoznavanje tempa pjesme iz glazbenog signala." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:964565

Mostarac, I. (2017). 'Prepoznavanje tempa pjesme iz glazbenog signala', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 03 October 2024, https://urn.nsk.hr/urn:nbn:hr:200:964565

Mostarac I. Prepoznavanje tempa pjesme iz glazbenog signala [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2024 October 03] Available at: https://urn.nsk.hr/urn:nbn:hr:200:964565

I. Mostarac, "Prepoznavanje tempa pjesme iz glazbenog signala", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:964565

Metadata
TitlePrepoznavanje tempa pjesme iz glazbenog signala
Title (english)Tempo and beat estimation of musical signals
AuthorIrena Mostarac
MentorIrena Galić (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2017-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
U ovom radu objašnjeno je kako se Fourierovom transformacijom i autokorelacijskom funkcijom mogu obrađivati glazbeni signali. Pritom je cilj odrediti glazbeni tempo iz signala pomoću udaljenosti između dva susjedna vrha u glazbenom signalu. Obrađene metode daju rezultate o tempu preko različitih vrsta i količina filtra. Rezultati su ovisni o metodi i vrsti signala, a u mjerenju se upotrijebilo 16 različitih glazbenih žanrova. Mjerenja se vrše računalnom obradom signala dijelom u online izvedbama, a većim dijelom u programu Matlab. Metode koje su korištene u usporednim mjerenjima su metoda otkucaja i Scheirerova metoda
Abstract (english)
This paper explains how Fourier's transformation and autocorrelation function can process musical signals. The purpose is to define the musical pitch of the signal by the distance between the two neighboring peaks in the musical signal. The methods used give tempo results across different types and quantities of filters. Results depend on the method and type of signal and in measurements are used 16 different music genres. Measurements are performed by computer processing of the signal partly in online performances and mostly in Matlab. The methods used in comparative measurements are the tap method and Scheirer's method
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:964565
Study programmeTitle: Professional study programme of Electrical Engineering; specializations in: Power Engineering, Automation, Informatics
Course: Informatics
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2017-11-06 14:15:01