Separation and classification of harmonic sounds for singing voice detection
Resumen:
This paper presents a novel method for the automatic detection of singing voice in polyphonic music recordings, that involves the extraction of harmonic sounds from the audio mixture and their classification. After being separated, sounds can be better characterized by computing features that are otherwise obscured in the mixture. A set of descriptors of typical pitch fluctuations of the singing voice is proposed, that is combined with classical spectral timbre features. The evaluation conducted shows the usefulness of the proposed pitch features and indicates that the approach is a promising alternative for tackling the problem, in particular for not much dense polyphonies where singing voice can be correctly tracked. As an outcome of this work an automatic singing voice separation system is obtained with encouraging results.
| 2012 | |
| Procesamiento de Señales | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41170 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522992829235200 |
|---|---|
| author | Rocamora, Martín |
| author2 | Pardo, Alvaro |
| author2_role | author |
| author_facet | Rocamora, Martín Pardo, Alvaro |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Rocamora, Martín Pardo, Alvaro |
| dc.date.accessioned.none.fl_str_mv | 2023-11-14T17:04:38Z |
| dc.date.available.none.fl_str_mv | 2023-11-14T17:04:38Z |
| dc.date.issued.es.fl_str_mv | 2012 |
| dc.date.submitted.es.fl_str_mv | 20231114 |
| dc.description.abstract.none.fl_txt_mv | This paper presents a novel method for the automatic detection of singing voice in polyphonic music recordings, that involves the extraction of harmonic sounds from the audio mixture and their classification. After being separated, sounds can be better characterized by computing features that are otherwise obscured in the mixture. A set of descriptors of typical pitch fluctuations of the singing voice is proposed, that is combined with classical spectral timbre features. The evaluation conducted shows the usefulness of the proposed pitch features and indicates that the approach is a promising alternative for tackling the problem, in particular for not much dense polyphonies where singing voice can be correctly tracked. As an outcome of this work an automatic singing voice separation system is obtained with encouraging results. |
| dc.description.es.fl_txt_mv | Trabajo presentado a Iberoamerican Congress on Pattern Recognition, CIARP 2012 |
| dc.identifier.citation.es.fl_str_mv | Rocamora, M, Pardo, A. "Separation and Classification of Harmonic Sounds for Singing Voice Detection" [Preprint] Publicado en Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_87 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41170 |
| 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.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Separation and classification of harmonic sounds for singing voice detection |
| 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 a Iberoamerican Congress on Pattern Recognition, CIARP 2012 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_820f62bf71315ae89cfcc7bc05727bd2 |
| identifier_str_mv | Rocamora, M, Pardo, A. "Separation and Classification of Harmonic Sounds for Singing Voice Detection" [Preprint] Publicado en Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_87 |
| 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:20.500.12008/41170 |
| publishDate | 2012 |
| 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 | 2023-11-14T17:04:38Z2023-11-14T17:04:38Z201220231114Rocamora, M, Pardo, A. "Separation and Classification of Harmonic Sounds for Singing Voice Detection" [Preprint] Publicado en Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_87https://hdl.handle.net/20.500.12008/41170Trabajo presentado a Iberoamerican Congress on Pattern Recognition, CIARP 2012This paper presents a novel method for the automatic detection of singing voice in polyphonic music recordings, that involves the extraction of harmonic sounds from the audio mixture and their classification. After being separated, sounds can be better characterized by computing features that are otherwise obscured in the mixture. A set of descriptors of typical pitch fluctuations of the singing voice is proposed, that is combined with classical spectral timbre features. The evaluation conducted shows the usefulness of the proposed pitch features and indicates that the approach is a promising alternative for tackling the problem, in particular for not much dense polyphonies where singing voice can be correctly tracked. As an outcome of this work an automatic singing voice separation system is obtained with encouraging results.Made available in DSpace on 2023-11-14T17:04:38Z (GMT). No. of bitstreams: 5 RP12.pdf: 2249098 bytes, checksum: 7f2d7b9465fc92f6c813e50df4e2a9e4 (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: 2012enengLas 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 SeñalesSeparation and classification of harmonic sounds for singing voice detectionPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRocamora, MartínPardo, AlvaroProcesamiento de SeñalesProcesamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Separation and classification of harmonic sounds for singing voice detection Rocamora, Martín Procesamiento de Señales |
| status_str | publishedVersion |
| title | Separation and classification of harmonic sounds for singing voice detection |
| title_full | Separation and classification of harmonic sounds for singing voice detection |
| title_fullStr | Separation and classification of harmonic sounds for singing voice detection |
| title_full_unstemmed | Separation and classification of harmonic sounds for singing voice detection |
| title_short | Separation and classification of harmonic sounds for singing voice detection |
| title_sort | Separation and classification of harmonic sounds for singing voice detection |
| topic | Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/41170 |
