Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music

Through the analysis of the spectral characteristics of thousands of mastered (or remastered) commercial recordings from a variety of genres over the history of popular music, researchers have studied stylistic trends and spectral conventions. The aim of this study was to further explore, analyse an...

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Main Author: Schedin, Oscar
Format: Others
Language:English
Published: Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle 2021
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84660
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spelling ndltd-UPSALLA1-oai-DiVA.org-ltu-846602021-06-05T05:44:32ZTarget Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic musicengSchedin, OscarLuleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle2021Target SpectrumFrequency SpectrumSpectral ConventionsRockElectronic MusicSub BassComparisonLong-Term Average SpectrumMasteringMixingBillboardMusic ProductionReference TracksSound EngineeringPopular MusicHit SongsSpectral AnalysisEngineering and TechnologyTeknik och teknologierThrough the analysis of the spectral characteristics of thousands of mastered (or remastered) commercial recordings from a variety of genres over the history of popular music, researchers have studied stylistic trends and spectral conventions. The aim of this study was to further explore, analyse and compare the spectral characteristics of two broad but distinct popular music genres: rock and vocal-based electronic music. The main reason for this choice of genres being that rock generally predominantly is based on (amplified) acoustical elements (e.g. acoustic drums and acoustic/electric bass/guitars) and that electronic music generally predominantly is based on electronic elements (e.g. beats and synthesizers). The stimuli for the study consisted of 24 top-five hit songs from the Billboard charts between 2016-2020, divided by genre. A fast fourier transform approach was used for the computation of target spectrums as well as low level descriptors for the two independent datasets of recordings. Spectral analysis followed with the goal of answering the following research questions: What do the spectral stylistic conventions appear to be in rock versus vocal-based electronic music and what spectral differences/similarities exists between these two distinct popular music genres? The results showed that there were some significant spectral differences between the two genres, especially noticeable in the low end of the frequency spectrum. Other genre-specific spectral trends and overall spectral conventions were found as well. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84660application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Target Spectrum
Frequency Spectrum
Spectral Conventions
Rock
Electronic Music
Sub Bass
Comparison
Long-Term Average Spectrum
Mastering
Mixing
Billboard
Music Production
Reference Tracks
Sound Engineering
Popular Music
Hit Songs
Spectral Analysis
Engineering and Technology
Teknik och teknologier
spellingShingle Target Spectrum
Frequency Spectrum
Spectral Conventions
Rock
Electronic Music
Sub Bass
Comparison
Long-Term Average Spectrum
Mastering
Mixing
Billboard
Music Production
Reference Tracks
Sound Engineering
Popular Music
Hit Songs
Spectral Analysis
Engineering and Technology
Teknik och teknologier
Schedin, Oscar
Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music
description Through the analysis of the spectral characteristics of thousands of mastered (or remastered) commercial recordings from a variety of genres over the history of popular music, researchers have studied stylistic trends and spectral conventions. The aim of this study was to further explore, analyse and compare the spectral characteristics of two broad but distinct popular music genres: rock and vocal-based electronic music. The main reason for this choice of genres being that rock generally predominantly is based on (amplified) acoustical elements (e.g. acoustic drums and acoustic/electric bass/guitars) and that electronic music generally predominantly is based on electronic elements (e.g. beats and synthesizers). The stimuli for the study consisted of 24 top-five hit songs from the Billboard charts between 2016-2020, divided by genre. A fast fourier transform approach was used for the computation of target spectrums as well as low level descriptors for the two independent datasets of recordings. Spectral analysis followed with the goal of answering the following research questions: What do the spectral stylistic conventions appear to be in rock versus vocal-based electronic music and what spectral differences/similarities exists between these two distinct popular music genres? The results showed that there were some significant spectral differences between the two genres, especially noticeable in the low end of the frequency spectrum. Other genre-specific spectral trends and overall spectral conventions were found as well.
author Schedin, Oscar
author_facet Schedin, Oscar
author_sort Schedin, Oscar
title Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music
title_short Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music
title_full Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music
title_fullStr Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music
title_full_unstemmed Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music
title_sort target spectrums for mastering : a comparison of spectral stylistic conventions between rock and vocal-based electronic music
publisher Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle
publishDate 2021
url http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84660
work_keys_str_mv AT schedinoscar targetspectrumsformasteringacomparisonofspectralstylisticconventionsbetweenrockandvocalbasedelectronicmusic
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