Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates
Resumen:
A novel way of performing pitch tracking by means of clustering local fundamental frequency (f0) candidates is described. The technique is based on an existing pitch salience representation for polyphonic music called F0gram which relies on the Fan Chirp Transform. The grouping is performed by applying a Spectral Clustering method, since it can handle filiform shapes such as pitch contours. The approach seems appealing since many sound sources can be tracked simultaneously and the number of contours and sources is derived from the data. Results of a melody detection evaluation indicate the introduced method is promising, despite that various aspects of the technique deserve further work.
| 2011 | |
| Procesamiento de Señales | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41112 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522936887705600 |
|---|---|
| author | Rocamora, Martín |
| author2 | Cancela, Pablo |
| author2_role | author |
| author_facet | Rocamora, Martín Cancela, Pablo |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Rocamora, Martín Cancela, Pablo |
| dc.date.accessioned.none.fl_str_mv | 2023-11-14T17:04:20Z |
| dc.date.available.none.fl_str_mv | 2023-11-14T17:04:20Z |
| dc.date.issued.es.fl_str_mv | 2011 |
| dc.date.submitted.es.fl_str_mv | 20231114 |
| dc.description.abstract.none.fl_txt_mv | A novel way of performing pitch tracking by means of clustering local fundamental frequency (f0) candidates is described. The technique is based on an existing pitch salience representation for polyphonic music called F0gram which relies on the Fan Chirp Transform. The grouping is performed by applying a Spectral Clustering method, since it can handle filiform shapes such as pitch contours. The approach seems appealing since many sound sources can be tracked simultaneously and the number of contours and sources is derived from the data. Results of a melody detection evaluation indicate the introduced method is promising, despite that various aspects of the technique deserve further work. |
| dc.identifier.citation.es.fl_str_mv | Rocamora, M, Cancela, P. “Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates”. Anais do 9o Congresso de Engenharia de Áudio 15a Convenção Nacional da AES Brasil. 17 a 19 de Maio de 2011, São Paulo, SP, Brasil. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41112 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.relation.ispartof.es.fl_str_mv | 9o Congresso de Engenharia de Áudio 15a Convenção Nacional da AES Brasil. 17 a 19 de Maio de 2011, São Paulo, SP, Brasil. |
| 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 | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates |
| 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 | A novel way of performing pitch tracking by means of clustering local fundamental frequency (f0) candidates is described. The technique is based on an existing pitch salience representation for polyphonic music called F0gram which relies on the Fan Chirp Transform. The grouping is performed by applying a Spectral Clustering method, since it can handle filiform shapes such as pitch contours. The approach seems appealing since many sound sources can be tracked simultaneously and the number of contours and sources is derived from the data. Results of a melody detection evaluation indicate the introduced method is promising, despite that various aspects of the technique deserve further work. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_7bfd89bc63fab7e26a45a184c402e0ac |
| identifier_str_mv | Rocamora, M, Cancela, P. “Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates”. Anais do 9o Congresso de Engenharia de Áudio 15a Convenção Nacional da AES Brasil. 17 a 19 de Maio de 2011, São Paulo, SP, Brasil. |
| 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:20.500.12008/41112 |
| publishDate | 2011 |
| 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 | 2023-11-14T17:04:20Z2023-11-14T17:04:20Z201120231114Rocamora, M, Cancela, P. “Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates”. Anais do 9o Congresso de Engenharia de Áudio 15a Convenção Nacional da AES Brasil. 17 a 19 de Maio de 2011, São Paulo, SP, Brasil.https://hdl.handle.net/20.500.12008/41112A novel way of performing pitch tracking by means of clustering local fundamental frequency (f0) candidates is described. The technique is based on an existing pitch salience representation for polyphonic music called F0gram which relies on the Fan Chirp Transform. The grouping is performed by applying a Spectral Clustering method, since it can handle filiform shapes such as pitch contours. The approach seems appealing since many sound sources can be tracked simultaneously and the number of contours and sources is derived from the data. Results of a melody detection evaluation indicate the introduced method is promising, despite that various aspects of the technique deserve further work.Made available in DSpace on 2023-11-14T17:04:20Z (GMT). No. of bitstreams: 5 RC11.pdf: 208042 bytes, checksum: 7afb35e6ab2e57eeb1aa52f085bbc892 (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: 2011eneng9o Congresso de Engenharia de Áudio 15a Convenção Nacional da AES Brasil. 17 a 19 de Maio de 2011, São Paulo, SP, Brasil.Las 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 SeñalesPitch tracking in polyphonic audio by clustering local fundamental frequency estimatesPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRocamora, MartínCancela, PabloProcesamiento de SeñalesProcesamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates Rocamora, Martín Procesamiento de Señales |
| status_str | publishedVersion |
| title | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates |
| title_full | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates |
| title_fullStr | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates |
| title_full_unstemmed | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates |
| title_short | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates |
| title_sort | Pitch tracking in polyphonic audio by clustering local fundamental frequency estimates |
| topic | Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/41112 |
