Query by humming : automatically building the database from music recordings

Rocamora, Martín - Cancela, Pablo - Pardo, Alvaro

Resumen:

Singing or humming to a music search engine is an appealing multimodal interaction paradigm, particularly for small sized portable devices that are ubiquitous nowadays. The aim of this work is to overcome the main shortcoming of the existing query-by-humming (QBH) systems: their lack of scalability in terms of the difficulty of automatically extending the database of melodies from audio recordings. A method is proposed to extract the singing voice melody from polyphonic music providing the necessary information to index it as an element in the database. The search of a query pattern in the database is carried out combining note sequence matching and pitch time series alignment. A prototype system was developed and experiments are carried out pursuing a fair comparison between manual and automatic expansion of the database. In the light of the obtained performance (85% in the top-10), which is encouraging given the results reported to date, this can be considered a proof of concept that validates the approach


Detalles Bibliográficos
2014
Voice based multimodal interfaces
Music information retrieval
Query by humming
singing voice separation
Melody extraction
Procesamiento de Señales
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/41824
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Rocamora, Martín
author2 Cancela, Pablo
Pardo, Alvaro
author2_role author
author
author_facet Rocamora, Martín
Cancela, Pablo
Pardo, Alvaro
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Rocamora, Martín
Cancela, Pablo
Pardo, Alvaro
dc.date.accessioned.none.fl_str_mv 2023-12-11T19:57:56Z
dc.date.available.none.fl_str_mv 2023-12-11T19:57:56Z
dc.date.issued.es.fl_str_mv 2014
dc.date.submitted.es.fl_str_mv 20231211
dc.description.abstract.none.fl_txt_mv Singing or humming to a music search engine is an appealing multimodal interaction paradigm, particularly for small sized portable devices that are ubiquitous nowadays. The aim of this work is to overcome the main shortcoming of the existing query-by-humming (QBH) systems: their lack of scalability in terms of the difficulty of automatically extending the database of melodies from audio recordings. A method is proposed to extract the singing voice melody from polyphonic music providing the necessary information to index it as an element in the database. The search of a query pattern in the database is carried out combining note sequence matching and pitch time series alignment. A prototype system was developed and experiments are carried out pursuing a fair comparison between manual and automatic expansion of the database. In the light of the obtained performance (85% in the top-10), which is encouraging given the results reported to date, this can be considered a proof of concept that validates the approach
dc.description.es.fl_txt_mv Publicado en Pattern Recognition Letters, 2014, v.36
dc.identifier.citation.es.fl_str_mv Rocamora, M, Cancela, P, Pardo, A."Query by humming: Automatically building the database from music recordings" [Preprint] Publicado en: Pattern Recognition Letters, 2014, v.36,pp 272-280. https://doi.org/10.1016/j.patrec.2013.04.006
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/41824
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.es.fl_str_mv Voice based multimodal interfaces
Music information retrieval
Query by humming
singing voice separation
Melody extraction
dc.subject.other.es.fl_str_mv Procesamiento de Señales
dc.title.none.fl_str_mv Query by humming : automatically building the database from music recordings
dc.type.es.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
dc.type.version.none.fl_str_mv info:eu-repo/semantics/submittedVersion
description Publicado en Pattern Recognition Letters, 2014, v.36
eu_rights_str_mv openAccess
format preprint
id COLIBRI_45deeda8eaf3fe9737da7ab45c10ac07
identifier_str_mv Rocamora, M, Cancela, P, Pardo, A."Query by humming: Automatically building the database from music recordings" [Preprint] Publicado en: Pattern Recognition Letters, 2014, v.36,pp 272-280. https://doi.org/10.1016/j.patrec.2013.04.006
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:20.500.12008/41824
publishDate 2014
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 2023-12-11T19:57:56Z2023-12-11T19:57:56Z201420231211Rocamora, M, Cancela, P, Pardo, A."Query by humming: Automatically building the database from music recordings" [Preprint] Publicado en: Pattern Recognition Letters, 2014, v.36,pp 272-280. https://doi.org/10.1016/j.patrec.2013.04.006https://hdl.handle.net/20.500.12008/41824Publicado en Pattern Recognition Letters, 2014, v.36Singing or humming to a music search engine is an appealing multimodal interaction paradigm, particularly for small sized portable devices that are ubiquitous nowadays. The aim of this work is to overcome the main shortcoming of the existing query-by-humming (QBH) systems: their lack of scalability in terms of the difficulty of automatically extending the database of melodies from audio recordings. A method is proposed to extract the singing voice melody from polyphonic music providing the necessary information to index it as an element in the database. The search of a query pattern in the database is carried out combining note sequence matching and pitch time series alignment. A prototype system was developed and experiments are carried out pursuing a fair comparison between manual and automatic expansion of the database. In the light of the obtained performance (85% in the top-10), which is encouraging given the results reported to date, this can be considered a proof of concept that validates the approachMade available in DSpace on 2023-12-11T19:57:56Z (GMT). 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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)Voice based multimodal interfacesMusic information retrievalQuery by hummingsinging voice separationMelody extractionProcesamiento de SeñalesQuery by humming : automatically building the database from music recordingsPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRocamora, MartínCancela, PabloPardo, AlvaroProcesamiento de SeñalesProcesamiento de 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- Universidad de la Repúblicafalse
spellingShingle Query by humming : automatically building the database from music recordings
Rocamora, Martín
Voice based multimodal interfaces
Music information retrieval
Query by humming
singing voice separation
Melody extraction
Procesamiento de Señales
status_str submittedVersion
title Query by humming : automatically building the database from music recordings
title_full Query by humming : automatically building the database from music recordings
title_fullStr Query by humming : automatically building the database from music recordings
title_full_unstemmed Query by humming : automatically building the database from music recordings
title_short Query by humming : automatically building the database from music recordings
title_sort Query by humming : automatically building the database from music recordings
topic Voice based multimodal interfaces
Music information retrieval
Query by humming
singing voice separation
Melody extraction
Procesamiento de Señales
url https://hdl.handle.net/20.500.12008/41824