Aplikacija za detekciju glazbenih nota

master's thesis

• Title (english): Application for detection of music notes
• Author: Fran Jelavić
• Mentor: Ivan Đurek (mentor)
• Committee member: Ivan Đurek (predsjednik povjerenstva)
• Committee member: Mia Suhanek (član povjerenstva)
• Committee member: Antonio Petošić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-05, Croatia

Abstract

Ovaj rad objašnjava raspored glazbenih nota po oktavama i njihovu povezanost s frekvencijama zvučnog signala. Pokriva detekciju glazbenih nota analizom frekvencija te implementaciju jednostavnog algoritma za preciznu detekciju nota u stvarnom vremenu.

Abstract (english)

This paper explains the arrangement of musical notes by octaves and their relationship to sound signal frequencies. It covers the detection of musical notes through frequency analysis and the implementation of a simple algorithm for accurate note detection in real time.

• Keywords: digitalna obrada signala; FFT; YIN; frekvencijski spektar; harmonici; visina tona; aplikacija za detekciju nota
• Keywords (english): digital signal processing; FFT; YIN; frequency spectrum; harmonics; pitch; note detection application
• Language: croatian
• URN:NBN: urn:nbn:hr:168:376750
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-10-12 20:56:08