Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Máximo Sánchez-Gutiérrez"'
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
One of the major challenges in the area of artificial neural networks is the identification of a suitable architecture for a specific problem. Choosing an unsuitable topology can exponentially increase the training cost, and even hinder network conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e382879fc1fc2ad8bc955bee2fa04a25
https://doi.org/10.1007/s00500-017-2784-3
https://doi.org/10.1007/s00500-017-2784-3
Publikováno v:
Advances in Artificial Intelligence-IBERAMIA 2018 ISBN: 9783030039271
IBERAMIA
IBERAMIA
In the last years, the effort devoted by the scientific community to develop better emotion recognition systems has been increased, mainly impulsed by the potential applications. The Boltzmann restricted machines (RBM) and the deep machines of Boltzm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d2f0027e14ef36e45468f278c543f64
https://doi.org/10.1007/978-3-030-03928-8_22
https://doi.org/10.1007/978-3-030-03928-8_22
Autor:
Fabiola Martínez-Licona, Enrique Albornoz, Hugo Leonardo Rufiner, John C. Goddard, Máximo Sánchez-Gutiérrez
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
CIARP
CIARP
Spoken emotion recognition is a multidisciplinary research area that has received increasing attention over the last few years. In this paper, restricted Boltzmann machines and deep belief networks are used to classify emotions in speech. The motivat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc6dbde765e203bc47dbc1617c0ee514
https://doi.org/10.1007/978-3-319-12568-8_13
https://doi.org/10.1007/978-3-319-12568-8_13
Autor:
John C. Goddard, Fabiola Martínez-Licona, H. Leonardo Rufiner, Máximo Sánchez-Gutiérrez, E. Marcelo Albornoz
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319074900
MCPR
MCPR
Emotional speech recognition is a multidisciplinary research area that has received increasing attention over the last few years. The present paper considers the application of restricted Boltzmann machines (RBM) and deep belief networks (DBN) to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edda128577b096f0eddc97e5640b54b4
https://doi.org/10.1007/978-3-319-07491-7_32
https://doi.org/10.1007/978-3-319-07491-7_32
Autor:
Marcelo Albornoz, Manuel Reyes-Vargas, Leandro Daniel Vignolo, Fabiola Martínez-Licona, Leonardo Rufiner, John Goddard-Close, Máximo Sánchez-Gutiérrez
Publikováno v:
Speech and Computer ISBN: 9783319019307
SPECOM
SPECOM
Although most of the natural emotions expressed in speech can be clearly identified by humans, automatic classification systems still display significant limitations on this task. Recently, hierarchical strategies have been proposed using different h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::532b7d0de57e5462cd9782273b2035ef
https://doi.org/10.1007/978-3-319-01931-4_22
https://doi.org/10.1007/978-3-319-01931-4_22