Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results

Detalhes bibliográficos
Autor(a) principal: Fellipe Miranda Martins
Data de Publicação: 2021
Outros Autores: José Henrique Padovani Velloso
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.5281/zenodo.5113511
http://hdl.handle.net/1843/54833
https://orcid.org/0000-0002-2686-6203
https://orcid.org/0000-0002-8919-7393
Resumo: The wavesets are defined as a signal portion between three consecutive zero-crossings and were proposed by Trevor Wishart as a form to manipulate and transform sound files. For simple sounds, wavesets tend to coincide with the wave cycle, but for complex and polyphonic sounds the wavesets can represent a small portion of longer oscillations or retain a slow oscillation superposed by faster ones. As wavesets’ shape, duration and amplitude are strongly unique for each sound, modifying a waveform based on this granular criterion can lead to unique sonorities. Firstly, we discuss the main issues that cause highly different sound results when applying the same waveset transformation to different waveforms (e.g., DC, low-frequency content, beats, phase, and others), secondly, we selected several waveset transformations to evaluate the range of sonorities produced as well as contextualizing them in the field of wellknown digital audio effects. In the end, we evaluate the major pitfalls of working with this technique and report some enhancements that are currently being studied.
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spelling 2023-06-12T19:57:04Z2023-06-12T19:57:04Z2021181923https://doi.org/10.5281/zenodo.511351197888945415402518-367http://hdl.handle.net/1843/54833https://orcid.org/0000-0002-2686-6203https://orcid.org/0000-0002-8919-7393The wavesets are defined as a signal portion between three consecutive zero-crossings and were proposed by Trevor Wishart as a form to manipulate and transform sound files. For simple sounds, wavesets tend to coincide with the wave cycle, but for complex and polyphonic sounds the wavesets can represent a small portion of longer oscillations or retain a slow oscillation superposed by faster ones. As wavesets’ shape, duration and amplitude are strongly unique for each sound, modifying a waveform based on this granular criterion can lead to unique sonorities. Firstly, we discuss the main issues that cause highly different sound results when applying the same waveset transformation to different waveforms (e.g., DC, low-frequency content, beats, phase, and others), secondly, we selected several waveset transformations to evaluate the range of sonorities produced as well as contextualizing them in the field of wellknown digital audio effects. In the end, we evaluate the major pitfalls of working with this technique and report some enhancements that are currently being studied.Os conjuntos de ondas são definidos como uma porção de sinal entre três cruzamentos zero consecutivos e foram propostos por Trevor Wishart como uma forma de manipular e transformar arquivos de som. Para sons simples, os conjuntos de ondas tendem a coincidir com o ciclo da onda, mas para sons complexos e polifônicos os conjuntos de ondas podem representar uma pequena porção de oscilações mais longas ou reter uma oscilação lenta sobreposta por outras mais rápidas. Como a forma, a duração e a amplitude dos conjuntos de ondas são fortemente únicas para cada som, modificar uma forma de onda com base nesse critério granular pode levar a sonoridades únicas. Em primeiro lugar, discutimos os principais problemas que causam resultados de som altamente diferentes ao aplicar a mesma transformação de waveset a diferentes formas de onda (por exemplo, DC, conteúdo de baixa frequência, batidas, fase e outros), em segundo lugar, selecionamos várias transformações de waveset para avaliar o gama de sonoridades produzidas bem como contextualizá-las no domínio dos conhecidos efeitos de áudio digital. Ao final, avaliamos as principais armadilhas de se trabalhar com essa técnica e relatamos alguns aprimoramentos que estão sendo estudados atualmente.engUniversidade Federal de Minas GeraisUFMGBrasilCAC - COORDENADORIA DE ASSUNTOS COMUNITARIOSMUS - DEPARTAMENTO DE TEORIA GERAL DA MÚSICASound and Music Computing ConferenceOndas sonorasSom - TransmissãoSom - Técnicas digitaisWavesets transformationsWaveformsSonoritiesDigital audio effectsEnhancementsWaveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound resultsTransformações do conjunto de ondas: características da fonte e peculiaridades da transformação produzindo resultados sonoros dificilmente previsíveisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttps://zenodo.org/record/5113511Fellipe Miranda MartinsJosé Henrique Padovani Vellosoapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/54833/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALWaveset transformations source characteristics and transformation peculiarities producing hardly predictable sound results.pdfWaveset transformations source characteristics and transformation peculiarities producing hardly predictable sound results.pdfapplication/pdf1045350https://repositorio.ufmg.br/bitstream/1843/54833/2/Waveset%20transformations%20source%20characteristics%20and%20transformation%20peculiarities%20producing%20hardly%20predictable%20sound%20results.pdfdf8ae08db393185011a79c306bcad55cMD521843/548332023-06-12 16:57:04.575oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-06-12T19:57:04Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
dc.title.alternative.pt_BR.fl_str_mv Transformações do conjunto de ondas: características da fonte e peculiaridades da transformação produzindo resultados sonoros dificilmente previsíveis
title Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
spellingShingle Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
Fellipe Miranda Martins
Wavesets transformations
Waveforms
Sonorities
Digital audio effects
Enhancements
Ondas sonoras
Som - Transmissão
Som - Técnicas digitais
title_short Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
title_full Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
title_fullStr Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
title_full_unstemmed Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
title_sort Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
author Fellipe Miranda Martins
author_facet Fellipe Miranda Martins
José Henrique Padovani Velloso
author_role author
author2 José Henrique Padovani Velloso
author2_role author
dc.contributor.author.fl_str_mv Fellipe Miranda Martins
José Henrique Padovani Velloso
dc.subject.por.fl_str_mv Wavesets transformations
Waveforms
Sonorities
Digital audio effects
Enhancements
topic Wavesets transformations
Waveforms
Sonorities
Digital audio effects
Enhancements
Ondas sonoras
Som - Transmissão
Som - Técnicas digitais
dc.subject.other.pt_BR.fl_str_mv Ondas sonoras
Som - Transmissão
Som - Técnicas digitais
description The wavesets are defined as a signal portion between three consecutive zero-crossings and were proposed by Trevor Wishart as a form to manipulate and transform sound files. For simple sounds, wavesets tend to coincide with the wave cycle, but for complex and polyphonic sounds the wavesets can represent a small portion of longer oscillations or retain a slow oscillation superposed by faster ones. As wavesets’ shape, duration and amplitude are strongly unique for each sound, modifying a waveform based on this granular criterion can lead to unique sonorities. Firstly, we discuss the main issues that cause highly different sound results when applying the same waveset transformation to different waveforms (e.g., DC, low-frequency content, beats, phase, and others), secondly, we selected several waveset transformations to evaluate the range of sonorities produced as well as contextualizing them in the field of wellknown digital audio effects. In the end, we evaluate the major pitfalls of working with this technique and report some enhancements that are currently being studied.
publishDate 2021
dc.date.issued.fl_str_mv 2021
dc.date.accessioned.fl_str_mv 2023-06-12T19:57:04Z
dc.date.available.fl_str_mv 2023-06-12T19:57:04Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/54833
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.5281/zenodo.5113511
dc.identifier.isbn.pt_BR.fl_str_mv 9788894541540
dc.identifier.issn.pt_BR.fl_str_mv 2518-367
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/0000-0002-2686-6203
https://orcid.org/0000-0002-8919-7393
url https://doi.org/10.5281/zenodo.5113511
http://hdl.handle.net/1843/54833
https://orcid.org/0000-0002-2686-6203
https://orcid.org/0000-0002-8919-7393
identifier_str_mv 9788894541540
2518-367
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Sound and Music Computing Conference
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv CAC - COORDENADORIA DE ASSUNTOS COMUNITARIOS
MUS - DEPARTAMENTO DE TEORIA GERAL DA MÚSICA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
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