A multimodal approach for percussion music transcription from audio and video

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	Marenco, Bernardo	es
dc.contributor.author	Fuentes, Magdalena	es
dc.contributor.author	Lanzaro, Florencia	es
dc.contributor.author	Rocamora, Martín	es
dc.contributor.author	Gómez, Alvaro	es
dc.date.accessioned	2024-02-26T19:52:32Z	-
dc.date.available	2024-02-26T19:52:32Z	-
dc.date.issued	2015	es
dc.date.submitted	20240223	es
dc.identifier.citation	Marenco, 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_12	es
dc.identifier.uri	https://hdl.handle.net/20.500.12008/42666	-
dc.description	Trabajo aceptado y presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015.	es
dc.description.abstract	A 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 classification	es
dc.language	en	es
dc.rights	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)	es
dc.subject	Multimodal signal processing	es
dc.subject	Machine learning applications	es
dc.subject	Music transcription	es
dc.subject	Percussion music	es
dc.subject	Sound classication	es
dc.subject.other	Procesamiento de Señales	es
dc.title	A multimodal approach for percussion music transcription from audio and video	es
dc.type	Ponencia	es
dc.rights.licence	Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)	es
udelar.academic.department	Procesamiento de Señales	-
udelar.investigation.group	Procesamiento de Audio	-
Aparece en las colecciones:	Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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