Automatic Acoustic Scene Classification

Detalhes bibliográficos
Autor(a) principal: Marques, Gonçalo Caetano
Data de Publicação: 2017
Outros Autores: Langlois, Thibault
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.34629/ipl.isel.i-ETC.35
Resumo: This paper presents a baseline system for automatic acoustic scene classification based on the audio signals alone. The proposed method  is derived from classic, content-based, music classification approaches, and consists in a feature extraction phase followed by two dimensionality reduction steps (PCA and LDA) and a classification phase done using a k nearest-neighbors algorithm.This paper also reports on how our system performed  in the context of the DCASE 2016 challenge, for the acoustic scene classification task.
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spelling Automatic Acoustic Scene ClassificationMultimediaMachine Learning, Music Information RetrievalThis paper presents a baseline system for automatic acoustic scene classification based on the audio signals alone. The proposed method  is derived from classic, content-based, music classification approaches, and consists in a feature extraction phase followed by two dimensionality reduction steps (PCA and LDA) and a classification phase done using a k nearest-neighbors algorithm.This paper also reports on how our system performed  in the context of the DCASE 2016 challenge, for the acoustic scene classification task.ISEL - High Institute of Engineering of Lisbon2017-10-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.34629/ipl.isel.i-ETC.35oai:i-ETC.journals.isel.pt:article/35i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 3, No 1 (2017): The CETC2016 Issue (A); ID-2i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 3, No 1 (2017): The CETC2016 Issue (A); ID-22182-4010reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://journals.isel.pt/index.php/i-ETC/article/view/35https://doi.org/10.34629/ipl.isel.i-ETC.35http://journals.isel.pt/index.php/i-ETC/article/view/35/22Copyright (c) 2017 Gonçalo Caetano Marqueshttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMarques, Gonçalo CaetanoLanglois, Thibault2022-09-20T15:26:06Zoai:i-ETC.journals.isel.pt:article/35Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:51:11.728085Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Automatic Acoustic Scene Classification
title Automatic Acoustic Scene Classification
spellingShingle Automatic Acoustic Scene Classification
Marques, Gonçalo Caetano
Multimedia
Machine Learning, Music Information Retrieval
title_short Automatic Acoustic Scene Classification
title_full Automatic Acoustic Scene Classification
title_fullStr Automatic Acoustic Scene Classification
title_full_unstemmed Automatic Acoustic Scene Classification
title_sort Automatic Acoustic Scene Classification
author Marques, Gonçalo Caetano
author_facet Marques, Gonçalo Caetano
Langlois, Thibault
author_role author
author2 Langlois, Thibault
author2_role author
dc.contributor.author.fl_str_mv Marques, Gonçalo Caetano
Langlois, Thibault
dc.subject.por.fl_str_mv Multimedia
Machine Learning, Music Information Retrieval
topic Multimedia
Machine Learning, Music Information Retrieval
description This paper presents a baseline system for automatic acoustic scene classification based on the audio signals alone. The proposed method  is derived from classic, content-based, music classification approaches, and consists in a feature extraction phase followed by two dimensionality reduction steps (PCA and LDA) and a classification phase done using a k nearest-neighbors algorithm.This paper also reports on how our system performed  in the context of the DCASE 2016 challenge, for the acoustic scene classification task.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-26T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.34629/ipl.isel.i-ETC.35
oai:i-ETC.journals.isel.pt:article/35
url https://doi.org/10.34629/ipl.isel.i-ETC.35
identifier_str_mv oai:i-ETC.journals.isel.pt:article/35
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://journals.isel.pt/index.php/i-ETC/article/view/35
https://doi.org/10.34629/ipl.isel.i-ETC.35
http://journals.isel.pt/index.php/i-ETC/article/view/35/22
dc.rights.driver.fl_str_mv Copyright (c) 2017 Gonçalo Caetano Marques
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Gonçalo Caetano Marques
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ISEL - High Institute of Engineering of Lisbon
publisher.none.fl_str_mv ISEL - High Institute of Engineering of Lisbon
dc.source.none.fl_str_mv i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 3, No 1 (2017): The CETC2016 Issue (A); ID-2
i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 3, No 1 (2017): The CETC2016 Issue (A); ID-2
2182-4010
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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