Analiza in klasifikacija zvočnih posnetkov v programskem okolju Python

diplomsko delo

Lara Rantuša (Author), Vili Podgorelec (Mentor)

Abstract

V diplomskem delu obravnavamo okolje in orodja v programskem jeziku Python za obdelavo, analizo in klasifikacijo zvočnih posnetkov. Razložene so lastnosti glasbe in kako se te zaznavajo z naravno in računalniško analizo zvoka. Opisan je postopek izdelave programa in uporabljeni algoritmi za strojno učenje, ki zna zvočne posnetke obdelati, analizirati in klasificirati glede na njihovo glasbeno zvrst ter na posnetku prepoznati število izvajalcev.

Keywords

analiza zvočnih posnetkov;klasifikacija zvočnih posnetkov;programsko okolje Python;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2022
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[L. Rantuša]
UDC:	004.85:004.93(043.2)
COBISS:	109381635
Views:	312
Downloads:	87
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Analysis and classification of sound recordings in the Python programming environment
Secondary abstract:	In this work we examine the envirnoment and tools in the Python programming language for processing, analysis and classification of sound recordings. There are different features of music explained and how they are perceived by natural and computer analysis of sound. Described is the process of creating the program and the algorithms used for the machine learning, which can process, analyze and classify sound recordings according to other musical genre and identify the number of performers in the recording.
Secondary keywords:	analysis of sound recordings;classification of sound recordings;the Python software environment;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages:	1 spletni vir (1 datoteka PDF (VIII, [49] f.))
ID:	15041002