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Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask

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dc.contributor.authorMiragaia, Rolando
dc.contributor.authorReis, Gustavo
dc.contributor.authorFernandéz de Vega, Francisco
dc.contributor.authorChávez, Francisco
dc.date.accessioned2021-10-26T15:39:43Z
dc.date.available2021-10-26T15:39:43Z
dc.date.issued2020
dc.description.abstractPiano notes recognition, or pitch estimation of piano notes has been a popular research topic for many years, and is still investigated nowadays. It is a fundamental task during the process of automatic music transcription (extracting the musical score from an acoustic signal). We take advantage of Cartesian Genetic Programming (CGP) to evolve mathematical functions that act as independent classifiers for piano notes. These classifiers are then used to identify the presence of piano notes in polyphonic audio signals. This paper describes our technique and the latest improvements made in our research. The main feature is the introduction of spectral harmonic masks in the binarization process for measuring the fitness values that has allowed to improve the classification rate: 10% in the F-measure mean result. Our system architecture is also described to show the feasibility of its parallelization, which will reduce the computing time.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationR. Miragaia, G. Reis, F. F. de Vega and F. Chávez, "Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask," 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 1800-1807, doi: 10.1109/SSCI47803.2020.9308178.pt_PT
dc.identifier.doi10.1109/SSCI47803.2020.9308178pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.8/6283
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationTIN2017-85727-C4- {2,4}-Ppt_PT
dc.relationIB16035pt_PT
dc.relationGR15068pt_PT
dc.subjectGenetic Programmingpt_PT
dc.subjectMulti pitch recognitionpt_PT
dc.subjectAutomatic piano music transcriptionpt_PT
dc.subjectPiano notes detectionpt_PT
dc.titleMulti Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Maskpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceCanberra, ACT, Australiapt_PT
oaire.citation.endPage1807pt_PT
oaire.citation.startPage1800pt_PT
oaire.citation.title2020 IEEE Symposium Series on Computational Intelligence (SSCI)pt_PT
person.familyNameJorge dos Reis
person.givenNameGustavo Miguel
person.identifier.ciencia-idC41A-BC63-08E6
person.identifier.orcid0000-0002-5903-8754
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication77b7fb9b-3584-4057-a3d8-de29d3fab6c1
relation.isAuthorOfPublication.latestForDiscovery77b7fb9b-3584-4057-a3d8-de29d3fab6c1

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