Waveset transformations: source characteristics and transformation peculiarities producing hardly predictable sound results
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
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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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:1843/54833TElDRU7vv71BIERFIERJU1RSSUJVSe+/ve+/vU8gTu+/vU8tRVhDTFVTSVZBIERPIFJFUE9TSVTvv71SSU8gSU5TVElUVUNJT05BTCBEQSBVRk1HCiAKCkNvbSBhIGFwcmVzZW50Ye+/ve+/vW8gZGVzdGEgbGljZW7vv71hLCB2b2Pvv70gKG8gYXV0b3IgKGVzKSBvdSBvIHRpdHVsYXIgZG9zIGRpcmVpdG9zIGRlIGF1dG9yKSBjb25jZWRlIGFvIFJlcG9zaXTvv71yaW8gSW5zdGl0dWNpb25hbCBkYSBVRk1HIChSSS1VRk1HKSBvIGRpcmVpdG8gbu+/vW8gZXhjbHVzaXZvIGUgaXJyZXZvZ++/vXZlbCBkZSByZXByb2R1emlyIGUvb3UgZGlzdHJpYnVpciBhIHN1YSBwdWJsaWNh77+977+9byAoaW5jbHVpbmRvIG8gcmVzdW1vKSBwb3IgdG9kbyBvIG11bmRvIG5vIGZvcm1hdG8gaW1wcmVzc28gZSBlbGV0cu+/vW5pY28gZSBlbSBxdWFscXVlciBtZWlvLCBpbmNsdWluZG8gb3MgZm9ybWF0b3Mg77+9dWRpbyBvdSB277+9ZGVvLgoKVm9j77+9IGRlY2xhcmEgcXVlIGNvbmhlY2UgYSBwb2zvv710aWNhIGRlIGNvcHlyaWdodCBkYSBlZGl0b3JhIGRvIHNldSBkb2N1bWVudG8gZSBxdWUgY29uaGVjZSBlIGFjZWl0YSBhcyBEaXJldHJpemVzIGRvIFJJLVVGTUcuCgpWb2Pvv70gY29uY29yZGEgcXVlIG8gUmVwb3NpdO+/vXJpbyBJbnN0aXR1Y2lvbmFsIGRhIFVGTUcgcG9kZSwgc2VtIGFsdGVyYXIgbyBjb250Ze+/vWRvLCB0cmFuc3BvciBhIHN1YSBwdWJsaWNh77+977+9byBwYXJhIHF1YWxxdWVyIG1laW8gb3UgZm9ybWF0byBwYXJhIGZpbnMgZGUgcHJlc2VydmHvv73vv71vLgoKVm9j77+9IHRhbWLvv71tIGNvbmNvcmRhIHF1ZSBvIFJlcG9zaXTvv71yaW8gSW5zdGl0dWNpb25hbCBkYSBVRk1HIHBvZGUgbWFudGVyIG1haXMgZGUgdW1hIGPvv71waWEgZGUgc3VhIHB1YmxpY2Hvv73vv71vIHBhcmEgZmlucyBkZSBzZWd1cmFu77+9YSwgYmFjay11cCBlIHByZXNlcnZh77+977+9by4KClZvY++/vSBkZWNsYXJhIHF1ZSBhIHN1YSBwdWJsaWNh77+977+9byDvv70gb3JpZ2luYWwgZSBxdWUgdm9j77+9IHRlbSBvIHBvZGVyIGRlIGNvbmNlZGVyIG9zIGRpcmVpdG9zIGNvbnRpZG9zIG5lc3RhIGxpY2Vu77+9YS4gVm9j77+9IHRhbWLvv71tIGRlY2xhcmEgcXVlIG8gZGVw77+9c2l0byBkZSBzdWEgcHVibGljYe+/ve+/vW8gbu+/vW8sIHF1ZSBzZWphIGRlIHNldSBjb25oZWNpbWVudG8sIGluZnJpbmdlIGRpcmVpdG9zIGF1dG9yYWlzIGRlIG5pbmd177+9bS4KCkNhc28gYSBzdWEgcHVibGljYe+/ve+/vW8gY29udGVuaGEgbWF0ZXJpYWwgcXVlIHZvY++/vSBu77+9byBwb3NzdWkgYSB0aXR1bGFyaWRhZGUgZG9zIGRpcmVpdG9zIGF1dG9yYWlzLCB2b2Pvv70gZGVjbGFyYSBxdWUgb2J0ZXZlIGEgcGVybWlzc++/vW8gaXJyZXN0cml0YSBkbyBkZXRlbnRvciBkb3MgZGlyZWl0b3MgYXV0b3JhaXMgcGFyYSBjb25jZWRlciBhbyBSZXBvc2l077+9cmlvIEluc3RpdHVjaW9uYWwgZGEgVUZNRyBvcyBkaXJlaXRvcyBhcHJlc2VudGFkb3MgbmVzdGEgbGljZW7vv71hLCBlIHF1ZSBlc3NlIG1hdGVyaWFsIGRlIHByb3ByaWVkYWRlIGRlIHRlcmNlaXJvcyBlc3Tvv70gY2xhcmFtZW50ZSBpZGVudGlmaWNhZG8gZSByZWNvbmhlY2lkbyBubyB0ZXh0byBvdSBubyBjb250Ze+/vWRvIGRhIHB1YmxpY2Hvv73vv71vIG9yYSBkZXBvc2l0YWRhLgoKQ0FTTyBBIFBVQkxJQ0Hvv73vv71PIE9SQSBERVBPU0lUQURBIFRFTkhBIFNJRE8gUkVTVUxUQURPIERFIFVNIFBBVFJPQ++/vU5JTyBPVSBBUE9JTyBERSBVTUEgQUfvv71OQ0lBIERFIEZPTUVOVE8gT1UgT1VUUk8gT1JHQU5JU01PLCBWT0Pvv70gREVDTEFSQSBRVUUgUkVTUEVJVE9VIFRPRE9TIEUgUVVBSVNRVUVSIERJUkVJVE9TIERFIFJFVklT77+9TyBDT01PIFRBTULvv71NIEFTIERFTUFJUyBPQlJJR0Hvv73vv71FUyBFWElHSURBUyBQT1IgQ09OVFJBVE8gT1UgQUNPUkRPLgoKTyBSZXBvc2l077+9cmlvIEluc3RpdHVjaW9uYWwgZGEgVUZNRyBzZSBjb21wcm9tZXRlIGEgaWRlbnRpZmljYXIgY2xhcmFtZW50ZSBvIHNldSBub21lKHMpIG91IG8ocykgbm9tZXMocykgZG8ocykgZGV0ZW50b3IoZXMpIGRvcyBkaXJlaXRvcyBhdXRvcmFpcyBkYSBwdWJsaWNh77+977+9bywgZSBu77+9byBmYXLvv70gcXVhbHF1ZXIgYWx0ZXJh77+977+9bywgYWzvv71tIGRhcXVlbGFzIGNvbmNlZGlkYXMgcG9yIGVzdGEgbGljZW7vv71hLgo=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 |
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info:eu-repo/semantics/conferenceObject |
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conferenceObject |
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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 |
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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Federal de Minas Gerais |
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Brasil |
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CAC - COORDENADORIA DE ASSUNTOS COMUNITARIOS MUS - DEPARTAMENTO DE TEORIA GERAL DA MÚSICA |
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Universidade Federal de Minas Gerais |
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