Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Carlos Pérez Sancho"'
Autor:
Leonel Iriarte Navarro, Manuel Marco Duch, Daniel Morón Martín, Pedro Pernías Peco, Carlos Pérez Sancho
Publikováno v:
RED. Revista de Educación a Distancia, Iss II, Pp 1-10 (2005)
La interoperabilidad se considera fundamental en los sistemas e-learning. Han surgido estándares basados en XML que facilitan métodos comunes de descripción, identificación y búsqueda de LO desarrollados bajo diversos formatos y plataformas, que
Externí odkaz:
https://doaj.org/article/d4e58cf5220d4dc8aee67e8b06ce7cda
Autor:
Leonel Iriarte Navarro, Manuel Marco Duch, Daniel Morón Martín, Pedro Pernías Peco, Carlos Pérez Sancho
Publikováno v:
RED. Revista de Educación a Distancia, Iss II, Pp 1-13 (2005)
Los Mapas conceptuales constituyen una de las herramientas más utilizadas en la gestión del aprendizaje por la posibilidad que estos ofrecen de personalizar el aprendizaje, compartir conocimiento, y para aprender a aprender. Al mismo tiempo se desa
Externí odkaz:
https://doaj.org/article/fc05224bbb944f0481b441218e2159db
Autor:
Stefan Kersten, Rafael Ramirez, Carlos Pérez-Sancho, José M. Iñesta, David Rizo, Pedro J. Ponce de León
Publikováno v:
Intelligent Data Analysis. 14:533-545
In this paper we present a genre classification framework for audio music based on a symbolic classification system. Audio signals are transformed into a symbolic representation of harmony using a chord transcription algorithm, based on the computati
Autor:
Carlos Pérez-Sancho, José M. Iñesta
Publikováno v:
ICASSP
Automatic music transcription has usually been performed as an autonomous task and its evaluation has been made in terms of precision, recall, accuracy, etc. Nevertheless, in this work, assuming that the state of the art is far from being perfect, it
Autor:
Bresson, J., Carlos Pérez-Sancho
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Scopus-Elsevier
Sound and Music Computing
Sound and Music Computing, 2012, Copenhagen, Denmark
Universidad de Alicante (UA)
Scopus-Elsevier
Sound and Music Computing
Sound and Music Computing, 2012, Copenhagen, Denmark
We present new tools for the segmentation and analysis of musical scores in the OpenMusic computer-aided composition environment. A modular object-oriented framework enables the creation of segmentations on score objects and the implementation of aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0c01aa7724f66a3efece6d687f55d4f
Publikováno v:
Signal Processing, Pattern Recognition, and Applications / 722: Computer Graphics and Imaging.
Publikováno v:
Proceedings of 3rd international workshop on Machine learning and music.
This paper presents a musical genre classification system based on the combination of two kinds of information of very different nature: the instrumentation information contained in a MIDI file (metadata) and the chords that provide the harmonic stru
Publikováno v:
Proceedings of 3rd international workshop on Machine learning and music.
In this paper, we evaluate the impact of feature selection on the classification accuracy and the achieved dimensionality reduction, which benefits the time needed on training classification models. Our classification scheme therein is a Cartesian en
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
Music genre meta-data is of paramount importance for the organisation of music repositories. People use genre in a natural way when entering a music store or looking into music collections. Automatic genre classification has become a popular topic in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50fb627b11d1a1ffde69e7a87ee84404
http://hdl.handle.net/10045/12119
http://hdl.handle.net/10045/12119
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540896883
SSPR/SPR
ResearcherID
SSPR/SPR
ResearcherID
Music genre meta-data is of paramount importance for the organization of music repositories. People use genre in a natural way when entering a music store or looking into music collections. Automatic genre classification has become a popular topic in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d5328f000d6386daa00aa8908dab48c
https://doi.org/10.1007/978-3-540-89689-0_10
https://doi.org/10.1007/978-3-540-89689-0_10