Modeling onset spectral features for discrimination of drum sounds
Resumen:
Motivated by practical problems related to ongoing research on Candombe drumming (a popular afro-rooted rhythm from Uruguay), this paper proposes an approach for recognizing drum sounds in audio signals that models for sound classification the same audio spectral features employed in onset detection. Among the reported experiments involving recordings of real performances, one aims at finding the predominant Candombe drum heard in an audio file, while the other attempts to identify those temporal segments within a performance when a given sound pattern is played. The attained results are promising and suggest many ideas for future research. Keywords: Audio signal processing · Machine learning applications · Musical instrument recognition · Percussion music · Candombe drumming
| 2015 | |
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Audio signal processing Machine learning applications Musical instrument recognition Percussion music Candombe drumming Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/42683 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522940609101824 |
|---|---|
| author | Rocamora, Martín |
| author2 | Biscainho, Luiz W. P |
| author2_role | author |
| author_facet | Rocamora, Martín Biscainho, Luiz W. P |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Rocamora, Martín Biscainho, Luiz W. P |
| dc.date.accessioned.none.fl_str_mv | 2024-02-26T19:52:36Z |
| dc.date.available.none.fl_str_mv | 2024-02-26T19:52:36Z |
| dc.date.issued.es.fl_str_mv | 2015 |
| dc.date.submitted.es.fl_str_mv | 20240223 |
| dc.description.abstract.none.fl_txt_mv | Motivated by practical problems related to ongoing research on Candombe drumming (a popular afro-rooted rhythm from Uruguay), this paper proposes an approach for recognizing drum sounds in audio signals that models for sound classification the same audio spectral features employed in onset detection. Among the reported experiments involving recordings of real performances, one aims at finding the predominant Candombe drum heard in an audio file, while the other attempts to identify those temporal segments within a performance when a given sound pattern is played. The attained results are promising and suggest many ideas for future research. Keywords: Audio signal processing · Machine learning applications · Musical instrument recognition · Percussion music · Candombe drumming |
| dc.description.es.fl_txt_mv | Trabajo presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015 |
| dc.identifier.citation.es.fl_str_mv | Rocamora, M., Biscainho, L.W.P. "Modeling onset spectral features for discrimination of drum sounds". Publicado en: Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, v. 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_13 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/42683 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Audio signal processing Machine learning applications Musical instrument recognition Percussion music Candombe drumming |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Modeling onset spectral features for discrimination of drum sounds |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Trabajo presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_be42eb4c74180df48b56f31892689042 |
| identifier_str_mv | Rocamora, M., Biscainho, L.W.P. "Modeling onset spectral features for discrimination of drum sounds". Publicado en: Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, v. 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_13 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/42683 |
| publishDate | 2015 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2024-02-26T19:52:36Z2024-02-26T19:52:36Z201520240223Rocamora, M., Biscainho, L.W.P. "Modeling onset spectral features for discrimination of drum sounds". Publicado en: Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, v. 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_13https://hdl.handle.net/20.500.12008/42683Trabajo presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015Motivated by practical problems related to ongoing research on Candombe drumming (a popular afro-rooted rhythm from Uruguay), this paper proposes an approach for recognizing drum sounds in audio signals that models for sound classification the same audio spectral features employed in onset detection. Among the reported experiments involving recordings of real performances, one aims at finding the predominant Candombe drum heard in an audio file, while the other attempts to identify those temporal segments within a performance when a given sound pattern is played. The attained results are promising and suggest many ideas for future research. Keywords: Audio signal processing · Machine learning applications · Musical instrument recognition · Percussion music · Candombe drummingMade available in DSpace on 2024-02-26T19:52:36Z (GMT). No. of bitstreams: 5 RB15.pdf: 887044 bytes, checksum: 08fc47fa021d4115309fcc29e5adef7f (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2015enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Audio signal processingMachine learning applicationsMusical instrument recognitionPercussion musicCandombe drummingProcesamiento de SeñalesModeling onset spectral features for discrimination of drum soundsPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRocamora, MartínBiscainho, Luiz W. 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- Universidad de la Repúblicafalse |
| spellingShingle | Modeling onset spectral features for discrimination of drum sounds Rocamora, Martín Audio signal processing Machine learning applications Musical instrument recognition Percussion music Candombe drumming Procesamiento de Señales |
| status_str | publishedVersion |
| title | Modeling onset spectral features for discrimination of drum sounds |
| title_full | Modeling onset spectral features for discrimination of drum sounds |
| title_fullStr | Modeling onset spectral features for discrimination of drum sounds |
| title_full_unstemmed | Modeling onset spectral features for discrimination of drum sounds |
| title_short | Modeling onset spectral features for discrimination of drum sounds |
| title_sort | Modeling onset spectral features for discrimination of drum sounds |
| topic | Audio signal processing Machine learning applications Musical instrument recognition Percussion music Candombe drumming Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/42683 |
