Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Laura Docío Fernández"'
Autor:
Manuel Vázquez-Enríquez, José Luis Alba-Castro, Laura Docío-Fernández, Eduardo Rodríguez-Banga
Publikováno v:
Technologies, Vol 12, Iss 10, p 205 (2024)
Progress in automatic sign language recognition and translation has been hindered by the scarcity of datasets available for the training of machine learning algorithms, a challenge that is even more acute for languages with smaller signing communitie
Externí odkaz:
https://doaj.org/article/8c3cd0f218f540a9b208b4c4e41ddba4
Autor:
Manuel Porta-Lorenzo, Manuel Vázquez-Enríquez, Ania Pérez-Pérez, José Luis Alba-Castro, Laura Docío-Fernández
Publikováno v:
Sensors, Vol 22, Iss 10, p 3839 (2022)
Facial motion analysis is a research field with many practical applications, and has been strongly developed in the last years. However, most effort has been focused on the recognition of basic facial expressions of emotion and neglects the analysis
Externí odkaz:
https://doaj.org/article/2f5d7423c52c41c99870544f36126a10
Autor:
Andrés Piñeiro Martín, Carmen García Mateo, Laura Docío Fernández, María del Carmen López Pérez
Publikováno v:
IberSPEECH 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76daa9b87e70651e0f23ee1b51d33b0e
https://doi.org/10.21437/iberspeech.2022-25
https://doi.org/10.21437/iberspeech.2022-25
Autor:
Carmen García Mateo, Soledad Torres Guijarro, Laura Docío Fernández, Darío Tilves Santiago, José Luis Alba Castro
Publikováno v:
Hesperia: Anuario de Filología Hispánica. 23:145-160
Automatic sign language recognition (ASLR) is quite a complex task, not only for the difficulty of dealing with very dynamic video information, but also because almost every sign language (SL) can be considered as an under-resourced language when it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d89d3ffc7e8e0473aa0ccb6f5d2cea
https://doi.org/10.35869/hafh.v23i0.1658
https://doi.org/10.35869/hafh.v23i0.1658
Publikováno v:
IberSPEECH 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4cf5f60526e8f903a74c565da139550
https://doi.org/10.21437/iberspeech.2021-17
https://doi.org/10.21437/iberspeech.2021-17
Publikováno v:
IberSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bab0aeb12066649248bb0fa2daa86c5
https://doi.org/10.21437/iberspeech.2018-50
https://doi.org/10.21437/iberspeech.2018-50
Publikováno v:
IberSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6245fb67f35cb956aa231a04a692ecee
https://doi.org/10.21437/iberspeech.2018-18
https://doi.org/10.21437/iberspeech.2018-18
Publikováno v:
Scopus-Elsevier
INTERSPEECH
INTERSPEECH
Speaker segmentation systems usually have problems detecting short segments, which causes the number of deletions to be high and therefore harming the performance of the system. This is a complication when it comes to segmenting multimedia informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea0037e64462f747d66699c7f079bb5a
http://www.scopus.com/inward/record.url?eid=2-s2.0-79959849760&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-79959849760&partnerID=MN8TOARS
Autor:
Zdravko Kacic, Tolga Ciloglu, Turgay Koc, Eduardo Rodríguez Banga, Laura Docío Fernández, Harald Höge, Pierre Sendorek, Bojan Kotnik, Sergey Astrov
Publikováno v:
ResearcherID
INTERSPEECH
Scopus-Elsevier
INTERSPEECH
Scopus-Elsevier
This paper describes the ECESS evaluation campaign of voice activity and voicing detection. Standard VAD classifies signal into speech and non-speech, we extend it to VAD+ so that it classifies a signal as a sequence of non-speech, voiced and unvoice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d95740dfb647328aa589aad5cace9d03
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000277026100438&KeyUID=WOS:000277026100438
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000277026100438&KeyUID=WOS:000277026100438
Publikováno v:
Scopus-Elsevier
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
INTERSPEECH
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
INTERSPEECH
Recercat. Dipósit de la Recerca de Catalunya
instname
In this work we design an approach for automatic feature selection and voice creation for expressive synthesis. Our approach is guided by two main goals: (1) increasing the flexibility of expressive voice creation and (2) overcoming the limitations o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e381dfd308fdfa9f798a888d2ac62079
http://www.scopus.com/inward/record.url?eid=2-s2.0-84959092929&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84959092929&partnerID=MN8TOARS