Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Fernando García Granada"'
Autor:
José Ángel González, Encarna Segarra, Fernando García-Granada, Emilio Sanchis, Lluís-F. Hurtado
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1458 (2023)
In this work, a general theoretical framework for extractive summarization is proposed—the Attentional Extractive Summarization framework. Although abstractive approaches are generally used in text summarization today, extractive methods can be esp
Externí odkaz:
https://doaj.org/article/96f730525c8845559e28111c4fe10575
Autor:
Javier Tejedor, Doroteo T. Toledano, Paula Lopez-Otero, Laura Docio-Fernandez, Jorge Proença, Fernando Perdigão, Fernando García-Granada, Emilio Sanchis, Anna Pompili, Alberto Abad
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2018, Iss 1, Pp 1-25 (2018)
Abstract Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems submitted to the ALBAYZIN QbE STD
Externí odkaz:
https://doaj.org/article/f60f9bd8673d4ea5b5635c0ea95069d3
Autor:
José Ángel González, Encarna Segarra, Fernando García-Granada, Emilio Sanchis, Lluis-F Hurtado
Publikováno v:
IberSPEECH 2022.
Autor:
María Salomé Moreno Navarro, Asenet Sosa Espinosa, José Sergio Palencia Jiménez, Sergio Rodríguez Valdunciel, David Roldán Garrote, José Luis Miralles I Garcia, Yaiza Pérez Alonso, María Lorena Rodríguez Mattalia, Eric Gielen, Rafael Ramón Temes Cordovez, Josefa María Zarraga Llorens, Álvaro Sanchis Gandía, Ana Martí Testón, Fernando García Granada
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[ES] Esta comunicación es el resultado de un Proyecto de Innovación y Mejora Educativa (PIME), financiado por el Vicerrectorado de Estudios, Calidad y Acreditación de la Universitat Politècnica de València, y por la Escuela Técnica Superior de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6be8537f3b835e9ee4c8651cad0707a
Autor:
Asenet Sosa Espinosa, Fernando García Granada, Eric Gielen, David Roldán Garrote, Josep Francesc Sanmartín Cava, Ana Martí Testón, José Sergio Palencia Jiménez
Publikováno v:
ICERI Proceedings.
Autor:
Josep Francesc Sanmartín Cava, Ana Martí Testón, Fernando García Granada, David Roldán Garrote
Publikováno v:
ICERI Proceedings.
Autor:
Lluís F. Hurtado, Emilio Sanchis, Fernando García-Granada, Encarna Segarra, José-Ángel González
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] In this paper, we present an extractive approach to document summarization, the Siamese Hierarchical Transformer Encoders system, that is based on the use of siamese neural networks and the transformer encoders which are extended in a hierarchic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::854711c559ffcf019fd6628c2d4e5b4e
http://hdl.handle.net/10251/170290
http://hdl.handle.net/10251/170290
Autor:
Emilio Sanchis, Lluís-Felip Hurtado, José-Ángel González, Fernando García-Granada, Encarna Segarra
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3836 (2019)
Applied Sciences
Volume 9
Issue 18
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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Applied Sciences
Volume 9
Issue 18
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] In this paper, we present an approach to Spanish talk shows summarization. Our approach is based on the use of Siamese Neural Networks on the transcription of the show audios. Specifically, we propose to use Hierarchical Attention Networks to se
Autor:
Encarna Segarra, José-Ángel González, Fernando García-Granada, Lluís F. Hurtado, Emilio Sanchis
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] In this paper, we present an extractive approach to document summarization based on Siamese Neural Networks. Specifically, we propose the use of Hierarchical Attention Networks to select the most relevant sentences of a text to make its summary.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be681f1fc5bcf92aaf097702ef8926a2
http://hdl.handle.net/10251/139459
http://hdl.handle.net/10251/139459
Autor:
Emilio Sanchis, Fernando García-Granada, Lluís F. Hurtado, Maria Jose Castro-Bleda, José-Ángel González
Publikováno v:
Speech and Computer ISBN: 9783030260606
SPECOM
SPECOM
An approach for discovering word units in an unknown language under zero resources conditions is presented in this paper. The method is based only on acoustic similarity, combining a cross-lingual phoneme recognition, followed by an identification of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd329451c02cb868815ecd86508e3afe
https://doi.org/10.1007/978-3-030-26061-3_14
https://doi.org/10.1007/978-3-030-26061-3_14