An efficient multi-resolution spectral transform for music analysis
Resumen:
In this paper we focus on multi-resolution spectral analysis algorithms for music signals based on the FFT. Two previously devised efficient algorithms (efficient constant-Q transform [1] and multiresolution FFT [2]) are reviewed and compared with a new proposal based on the IIR filtering of the FFT. Apart from its simplicity, the proposed method shows to be a good compromise between design flexibility and reduced computational effort. Additionally, it was used as a part of an effective melody extraction algorithm.
nbsp,
| 2009 | |
| Procesamiento de Señales | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38658 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522933597274112 |
|---|---|
| author | Cancela, Pablo |
| author2 | Rocamora, Martín López, Ernesto |
| author2_role | author author |
| author_facet | Cancela, Pablo Rocamora, Martín López, Ernesto |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Cancela, Pablo Rocamora, Martín López, Ernesto |
| dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:33:13Z |
| dc.date.available.none.fl_str_mv | 2023-08-01T20:33:13Z |
| dc.date.issued.es.fl_str_mv | 2009 |
| dc.date.submitted.es.fl_str_mv | 20230801 |
| dc.description.abstract.none.fl_txt_mv | In this paper we focus on multi-resolution spectral analysis algorithms for music signals based on the FFT. Two previously devised efficient algorithms (efficient constant-Q transform [1] and multiresolution FFT [2]) are reviewed and compared with a new proposal based on the IIR filtering of the FFT. Apart from its simplicity, the proposed method shows to be a good compromise between design flexibility and reduced computational effort. Additionally, it was used as a part of an effective melody extraction algorithm. nbsp, |
| dc.identifier.citation.es.fl_str_mv | Cancela, P, Rocamora, M, López, E. “An efficient multi-resolution spectral transform for music analysis”. Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38658 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | ISMIR |
| dc.relation.ispartof.es.fl_str_mv | 10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009. |
| 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 | An efficient multi-resolution spectral transform for music analysis |
| 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 | In this paper we focus on multi-resolution spectral analysis algorithms for music signals based on the FFT. Two previously devised efficient algorithms (efficient constant-Q transform [1] and multiresolution FFT [2]) are reviewed and compared with a new proposal based on the IIR filtering of the FFT. Apart from its simplicity, the proposed method shows to be a good compromise between design flexibility and reduced computational effort. Additionally, it was used as a part of an effective melody extraction algorithm. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_bb4608575eea255524d8549919fb50ea |
| identifier_str_mv | Cancela, P, Rocamora, M, López, E. “An efficient multi-resolution spectral transform for music analysis”. Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009. |
| 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:20.500.12008/38658 |
| publishDate | 2009 |
| 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 | 2023-08-01T20:33:13Z2023-08-01T20:33:13Z200920230801Cancela, P, Rocamora, M, López, E. “An efficient multi-resolution spectral transform for music analysis”. Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009.https://hdl.handle.net/20.500.12008/38658In this paper we focus on multi-resolution spectral analysis algorithms for music signals based on the FFT. Two previously devised efficient algorithms (efficient constant-Q transform [1] and multiresolution FFT [2]) are reviewed and compared with a new proposal based on the IIR filtering of the FFT. Apart from its simplicity, the proposed method shows to be a good compromise between design flexibility and reduced computational effort. Additionally, it was used as a part of an effective melody extraction algorithm.nbsp,Made available in DSpace on 2023-08-01T20:33:13Z (GMT). No. of bitstreams: 5 CRL09.pdf: 1092224 bytes, checksum: c94c4259b2c7c8b5e04917c0ffa08db1 (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: 2009enengISMIR10th International Society for Music Information Retrieval Conference (ISMIR 2009), Kobe, Japan, 2009.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 SeñalesAn efficient multi-resolution spectral transform for music analysisPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCancela, PabloRocamora, MartínLópez, ErnestoProcesamiento de SeñalesProcesamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | An efficient multi-resolution spectral transform for music analysis Cancela, Pablo Procesamiento de Señales |
| status_str | publishedVersion |
| title | An efficient multi-resolution spectral transform for music analysis |
| title_full | An efficient multi-resolution spectral transform for music analysis |
| title_fullStr | An efficient multi-resolution spectral transform for music analysis |
| title_full_unstemmed | An efficient multi-resolution spectral transform for music analysis |
| title_short | An efficient multi-resolution spectral transform for music analysis |
| title_sort | An efficient multi-resolution spectral transform for music analysis |
| topic | Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/38658 |
