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dc.contributor.authorMarenco, Bernardoes
dc.contributor.authorFuentes, Magdalenaes
dc.contributor.authorLanzaro, Florenciaes
dc.contributor.authorRocamora, Martínes
dc.contributor.authorGómez, Alvaroes
dc.date.accessioned2024-02-26T19:52:32Z-
dc.date.available2024-02-26T19:52:32Z-
dc.date.issued2015es
dc.date.submitted20240223es
dc.identifier.citationMarenco, B., Fuentes, M., Lanzaro, F., Rocamora, M., Gómez, A. "A Multimodal approach for percussion music transcription from audio and video". Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, v. 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_12es
dc.identifier.urihttps://hdl.handle.net/20.500.12008/42666-
dc.descriptionTrabajo aceptado y presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015.es
dc.description.abstractA multimodal approach for percussion music transcription from audio and video recordings is proposed in this work. It is part of an ongoing research effort for the development of tools for computeraided analysis of Candombe drumming, a popular afro-rooted rhythm from Uruguay. Several signal processing techniques are applied to automatically extract meaningful information from each source. This involves detecting certain relevant objects in the scene from the video stream. The location of events is obtained from the audio signal and this information is used to drive the processing of both modalities. Then, the detected events are classified by combining the information from each source in a feature-level fusion scheme. The experiments conducted yield promising results that show the advantages of the proposed method. Keywords: multimodal signal processing, machine learning applications, music transcription, percussion music, sound classificationes
dc.languageenes
dc.rightsLas 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)es
dc.subjectMultimodal signal processinges
dc.subjectMachine learning applicationses
dc.subjectMusic transcriptiones
dc.subjectPercussion musices
dc.subjectSound classicationes
dc.subject.otherProcesamiento de Señaleses
dc.titleA multimodal approach for percussion music transcription from audio and videoes
dc.typePonenciaes
dc.rights.licenceLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)es
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