Transient and steady-state component extration using nonlinear filtering
Resumen:
Recently, a fast and simple method for separation of the transient and steady-state components of a music signal was proposed in [4]. The technique involves the application of two median filters to the spectrogram: one along the frequency bins to eliminate steady-state components, and the other along the time frames to eliminate transient components. In the present paper, a modification of the filtering stage is proposed, the resulting algorithm is evaluated both regarding the perceptual quality of the attained separation and its use as a preprocessing stage for improving the performance of a beat-tracking technique. The results obtained for a reference data set of beat-annotated music excerpts are promising.
2013 | |
Procesamiento de Señales | |
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/41765 | |
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
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---|---|
author | Irigaray, Ignacio |
author2 | Biscainho, Luiz W. P |
author2_role | author |
author_facet | Irigaray, Ignacio Biscainho, Luiz W. P |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Irigaray, Ignacio Biscainho, Luiz W. P |
dc.date.accessioned.none.fl_str_mv | 2023-12-11T19:57:40Z |
dc.date.available.none.fl_str_mv | 2023-12-11T19:57:40Z |
dc.date.issued.es.fl_str_mv | 2013 |
dc.date.submitted.es.fl_str_mv | 20231211 |
dc.description.abstract.none.fl_txt_mv | Recently, a fast and simple method for separation of the transient and steady-state components of a music signal was proposed in [4]. The technique involves the application of two median filters to the spectrogram: one along the frequency bins to eliminate steady-state components, and the other along the time frames to eliminate transient components. In the present paper, a modification of the filtering stage is proposed, the resulting algorithm is evaluated both regarding the perceptual quality of the attained separation and its use as a preprocessing stage for improving the performance of a beat-tracking technique. The results obtained for a reference data set of beat-annotated music excerpts are promising. |
dc.identifier.citation.es.fl_str_mv | Irigaray, I, Biscainho, L. W. P. "Transient and steady-state component extration using nonlinear filtering" 1º Congreso Internacional de Ciencia y Tecnología Musical, Buenos Aires, Argentina, 26 al 28 de set. 2013. |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41765 |
dc.language.iso.none.fl_str_mv | en eng |
dc.relation.ispartof.es.fl_str_mv | 1º Congreso Internacional de Ciencia y Tecnología Musical, Buenos Aires, Argentina, 26 al 28 de set. 2013. |
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 | Transient and steady-state component extration using nonlinear filtering |
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 | Recently, a fast and simple method for separation of the transient and steady-state components of a music signal was proposed in [4]. The technique involves the application of two median filters to the spectrogram: one along the frequency bins to eliminate steady-state components, and the other along the time frames to eliminate transient components. In the present paper, a modification of the filtering stage is proposed, the resulting algorithm is evaluated both regarding the perceptual quality of the attained separation and its use as a preprocessing stage for improving the performance of a beat-tracking technique. The results obtained for a reference data set of beat-annotated music excerpts are promising. |
eu_rights_str_mv | openAccess |
format | conferenceObject |
id | COLIBRI_88b26c9d4755a2baa312d2ccddc53af0 |
identifier_str_mv | Irigaray, I, Biscainho, L. W. P. "Transient and steady-state component extration using nonlinear filtering" 1º Congreso Internacional de Ciencia y Tecnología Musical, Buenos Aires, Argentina, 26 al 28 de set. 2013. |
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:20.500.12008/41765 |
publishDate | 2013 |
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 | 2023-12-11T19:57:40Z2023-12-11T19:57:40Z201320231211Irigaray, I, Biscainho, L. W. P. "Transient and steady-state component extration using nonlinear filtering" 1º Congreso Internacional de Ciencia y Tecnología Musical, Buenos Aires, Argentina, 26 al 28 de set. 2013.https://hdl.handle.net/20.500.12008/41765Recently, a fast and simple method for separation of the transient and steady-state components of a music signal was proposed in [4]. The technique involves the application of two median filters to the spectrogram: one along the frequency bins to eliminate steady-state components, and the other along the time frames to eliminate transient components. In the present paper, a modification of the filtering stage is proposed, the resulting algorithm is evaluated both regarding the perceptual quality of the attained separation and its use as a preprocessing stage for improving the performance of a beat-tracking technique. The results obtained for a reference data set of beat-annotated music excerpts are promising.Made available in DSpace on 2023-12-11T19:57:40Z (GMT). No. of bitstreams: 4 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: 2013eneng1º Congreso Internacional de Ciencia y Tecnología Musical, Buenos Aires, Argentina, 26 al 28 de set. 2013.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 SeñalesTransient and steady-state component extration using nonlinear filteringPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaIrigaray, IgnacioBiscainho, Luiz W. 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- Universidad de la Repúblicafalse |
spellingShingle | Transient and steady-state component extration using nonlinear filtering Irigaray, Ignacio Procesamiento de Señales |
status_str | publishedVersion |
title | Transient and steady-state component extration using nonlinear filtering |
title_full | Transient and steady-state component extration using nonlinear filtering |
title_fullStr | Transient and steady-state component extration using nonlinear filtering |
title_full_unstemmed | Transient and steady-state component extration using nonlinear filtering |
title_short | Transient and steady-state component extration using nonlinear filtering |
title_sort | Transient and steady-state component extration using nonlinear filtering |
topic | Procesamiento de Señales |
url | https://hdl.handle.net/20.500.12008/41765 |