Comparing audio descriptors for singing voice detection in music audio files
Resumen:
Given the relevance of the singing voice in popular western music, a system able to reliable identify those portions of a music audio file containing vocals would be very useful. In this work, we explore already used descriptors to perform this task and compare the performance of a statistical classifier using each kind of them, concluding that MFCC are the most appropriate. As an outcome of our study, an effective statistical classification system with a reduced set of descriptors for singing voice detection in music audio files is presented. The performance of the system is validated using independent datasets of popular music for training, validation and testing, reaching a classification performance of 78.5% on the testing set.
| 2007 | |
| Procesamiento de Señales | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38794 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522935943987200 |
|---|---|
| author | Herrera, Perfecto |
| author2 | Rocamora, Martín |
| author2_role | author |
| author_facet | Herrera, Perfecto Rocamora, Martín |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Herrera, Perfecto Rocamora, Martín |
| dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:33:48Z |
| dc.date.available.none.fl_str_mv | 2023-08-01T20:33:48Z |
| dc.date.issued.es.fl_str_mv | 2007 |
| dc.date.submitted.es.fl_str_mv | 20230801 |
| dc.description.abstract.none.fl_txt_mv | Given the relevance of the singing voice in popular western music, a system able to reliable identify those portions of a music audio file containing vocals would be very useful. In this work, we explore already used descriptors to perform this task and compare the performance of a statistical classifier using each kind of them, concluding that MFCC are the most appropriate. As an outcome of our study, an effective statistical classification system with a reduced set of descriptors for singing voice detection in music audio files is presented. The performance of the system is validated using independent datasets of popular music for training, validation and testing, reaching a classification performance of 78.5% on the testing set. |
| dc.identifier.citation.es.fl_str_mv | Herrera, P, Rocamora, M. “Comparing audio descriptors for singing voice detection in music audio files”. Anais do 11º Simpósio Brasileiro de Computação Musical (SBCM07), Sao Paulo, Brazil, 2007. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38794 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.relation.ispartof.es.fl_str_mv | 11º Simpósio Brasileiro de Computação Musical (SBCM07), Sao Paulo, Brazil, 2007 |
| 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.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Comparing audio descriptors for singing voice detection in music audio files |
| 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 | Given the relevance of the singing voice in popular western music, a system able to reliable identify those portions of a music audio file containing vocals would be very useful. In this work, we explore already used descriptors to perform this task and compare the performance of a statistical classifier using each kind of them, concluding that MFCC are the most appropriate. As an outcome of our study, an effective statistical classification system with a reduced set of descriptors for singing voice detection in music audio files is presented. The performance of the system is validated using independent datasets of popular music for training, validation and testing, reaching a classification performance of 78.5% on the testing set. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_f7a3c3e860cd68ea8f969de56102f92a |
| identifier_str_mv | Herrera, P, Rocamora, M. “Comparing audio descriptors for singing voice detection in music audio files”. Anais do 11º Simpósio Brasileiro de Computação Musical (SBCM07), Sao Paulo, Brazil, 2007. |
| 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:20.500.12008/38794 |
| publishDate | 2007 |
| 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 | 2023-08-01T20:33:48Z2023-08-01T20:33:48Z200720230801Herrera, P, Rocamora, M. “Comparing audio descriptors for singing voice detection in music audio files”. Anais do 11º Simpósio Brasileiro de Computação Musical (SBCM07), Sao Paulo, Brazil, 2007.https://hdl.handle.net/20.500.12008/38794Given the relevance of the singing voice in popular western music, a system able to reliable identify those portions of a music audio file containing vocals would be very useful. In this work, we explore already used descriptors to perform this task and compare the performance of a statistical classifier using each kind of them, concluding that MFCC are the most appropriate. As an outcome of our study, an effective statistical classification system with a reduced set of descriptors for singing voice detection in music audio files is presented. The performance of the system is validated using independent datasets of popular music for training, validation and testing, reaching a classification performance of 78.5% on the testing set.Made available in DSpace on 2023-08-01T20:33:48Z (GMT). No. of bitstreams: 5 RH07.pdf: 237591 bytes, checksum: 1f1aff4a8b7ea2a816f4a4490e8e3697 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2007eneng11º Simpósio Brasileiro de Computação Musical (SBCM07), Sao Paulo, Brazil, 2007Las 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)Procesamiento de SeñalesComparing audio descriptors for singing voice detection in music audio filesPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaHerrera, PerfectoRocamora, MartínProcesamiento de SeñalesProcesamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Comparing audio descriptors for singing voice detection in music audio files Herrera, Perfecto Procesamiento de Señales |
| status_str | publishedVersion |
| title | Comparing audio descriptors for singing voice detection in music audio files |
| title_full | Comparing audio descriptors for singing voice detection in music audio files |
| title_fullStr | Comparing audio descriptors for singing voice detection in music audio files |
| title_full_unstemmed | Comparing audio descriptors for singing voice detection in music audio files |
| title_short | Comparing audio descriptors for singing voice detection in music audio files |
| title_sort | Comparing audio descriptors for singing voice detection in music audio files |
| topic | Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/38794 |
