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Indexing and Retrieval of Scores by Humming based on Extracted Features
dc.contributor.author | Romero-Velo, Hilda | |
dc.contributor.author | Ladra, Susana | |
dc.contributor.author | Paramá, José R. | |
dc.contributor.author | Silva-Coira, Fernando | |
dc.date.accessioned | 2023-11-15T16:39:22Z | |
dc.date.available | 2023-11-15T16:39:22Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/2183/34248 | |
dc.description | Cursos e Congresos, C-155 | es_ES |
dc.description.abstract | [Abstract] In order to be able to conduct searches over large collections of music scores with queries provided in audio format, this article considers recent literature in the field and proposes an implementation to extract specific features from music pieces. Afterwards, we index those features using modern Lempel-Ziv (LZ)-based data structures. These data structures take advantage of the intrinsic repetitiveness within music to reduce space consumption and, at the same time, to index the information optimizing the search time per query. Furthermore, taking advantage of this property-based representation framework, which does not depend on the way the music is portrayed, we enable the possibility to perform melodic searches by simply providing a query audio. This research branch is known as “query by humming” and has commonly been applied to audio sources. A preliminary study for its application in other forms of music representation is presented in this research. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2021/53 | es_ES |
dc.description.sponsorship | Work funded by: CITIC is funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS), 80% through FEDER funds, Galicia Operational Programme FEDER 2014-2020, and the remaining 20% by the “Secretaría Xeral de Universidades” (Grant ED431G 2019/01), Xunta de Galicia/FEDERUE [ED431C 2021/53]; Ministry of Science and Innovation [PID2020-114635RBI00; PDC2021-120917-C21; PDC2021-121239-C31; PID2019-105221RB-C41; TED2021- 129245-C21] | |
dc.language.iso | eng | es_ES |
dc.publisher | Universidade da Coruña, Servizo de Publicacións | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114635RB-I00/ES/EXPLOTACIÓN ENRIQUECIDA DE TRAYECTORIAS CON ESTRUCTURAS DE DATOS COMPACTAS Y GIS | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105221RB-C41/ES/VISUALIZACIÓN Y EXPLORACIÓN BASADA EN FLUJOS Y ANALÍTICA DE BIG DATA ESPACIAL | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-120917-C21/ES/SIGTRANS | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-121239-C31/ES/FLATCITY-POC | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129245-C21/ES/PLAGEMIS | es_ES |
dc.relation.uri | https://doi.org/10.17979/spudc.000024.06 | |
dc.rights | Attribution 4.0 International (CC BY 4.0) | es_ES |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/deed.es | * |
dc.subject | Música | es_ES |
dc.subject | Algoritmo Lempel-Ziv | es_ES |
dc.subject | Consulta por tarareo | es_ES |
dc.title | Indexing and Retrieval of Scores by Humming based on Extracted Features | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.startPage | 35 | es_ES |
UDC.endPage | 42 | es_ES |
UDC.conferenceTitle | VI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruña | es_ES |