Music Mood Visualization Using Self-Organizing Maps

Due to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters describing mood of music are proposed and cal...

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Main Authors: Magdalena PLEWA, Bozena KOSTEK
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2015-10-01
Series:Archives of Acoustics
Subjects:
Online Access:https://acoustics.ippt.pan.pl/index.php/aa/article/view/1624
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author Magdalena PLEWA
Bozena KOSTEK
author_facet Magdalena PLEWA
Bozena KOSTEK
author_sort Magdalena PLEWA
collection DOAJ
description Due to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters describing mood of music are proposed and calculated and then analyzed employing correlation with mood dimensions based on the Multidimensional Scaling. A map is created in which music excerpts with similar mood are organized next to each other on the two-dimensional display.
format Article
id doaj-art-c6db085e5a814bec84a33df9925acf4d
institution DOAJ
issn 0137-5075
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language English
publishDate 2015-10-01
publisher Institute of Fundamental Technological Research Polish Academy of Sciences
record_format Article
series Archives of Acoustics
spelling doaj-art-c6db085e5a814bec84a33df9925acf4d2025-08-20T03:13:08ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2015-10-0140410.1515/aoa-2015-0051Music Mood Visualization Using Self-Organizing MapsMagdalena PLEWA0Bozena KOSTEK1Audio Acoustics Lab., Faculty of Electronics, Telecommunications and Informatics, Gdansk University of TechnologyAudio Acoustics Lab., Faculty of Electronics, Telecommunications and Informatics, Gdansk University of TechnologyDue to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters describing mood of music are proposed and calculated and then analyzed employing correlation with mood dimensions based on the Multidimensional Scaling. A map is created in which music excerpts with similar mood are organized next to each other on the two-dimensional display.https://acoustics.ippt.pan.pl/index.php/aa/article/view/1624music moodmusic parameterizationMER (Music Emotion Recognition)MIR (Music Information Retrieval)Multidimensional Scaling (MDS)Principal Component Analysis (PCA)
spellingShingle Magdalena PLEWA
Bozena KOSTEK
Music Mood Visualization Using Self-Organizing Maps
Archives of Acoustics
music mood
music parameterization
MER (Music Emotion Recognition)
MIR (Music Information Retrieval)
Multidimensional Scaling (MDS)
Principal Component Analysis (PCA)
title Music Mood Visualization Using Self-Organizing Maps
title_full Music Mood Visualization Using Self-Organizing Maps
title_fullStr Music Mood Visualization Using Self-Organizing Maps
title_full_unstemmed Music Mood Visualization Using Self-Organizing Maps
title_short Music Mood Visualization Using Self-Organizing Maps
title_sort music mood visualization using self organizing maps
topic music mood
music parameterization
MER (Music Emotion Recognition)
MIR (Music Information Retrieval)
Multidimensional Scaling (MDS)
Principal Component Analysis (PCA)
url https://acoustics.ippt.pan.pl/index.php/aa/article/view/1624
work_keys_str_mv AT magdalenaplewa musicmoodvisualizationusingselforganizingmaps
AT bozenakostek musicmoodvisualizationusingselforganizingmaps