Zobrazeno 1 - 10
of 11
pro vyhledávání: '"José Vicente Egas-López"'
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031341106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da6b89d78acf07f8175e04d7bb2968c6
https://doi.org/10.1007/978-3-031-34111-3_13
https://doi.org/10.1007/978-3-031-34111-3_13
Publikováno v:
Acta Cybernetica. 25:223-232
In this paper, we present a computational paralinguistic method for assessing whether a person has an upper respiratory tract infection (i.e. cold) using their speech. Having a system that can accurately assess a cold can be helpful for predicting it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::334906082aadc48d650b2f2908825582
https://doi.org/10.14232/actacyb.287868
https://doi.org/10.14232/actacyb.287868
Publikováno v:
Modeling Decisions for Artificial Intelligence ISBN: 9783031134470
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3ecb37edec42808ad6d0fcac8096250
https://doi.org/10.1007/978-3-031-13448-7_9
https://doi.org/10.1007/978-3-031-13448-7_9
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75bba341c246ce4e7b966ed2a88f098a
https://doi.org/10.21437/interspeech.2021-1173
https://doi.org/10.21437/interspeech.2021-1173
Autor:
José Vicente Egas-López, Réka Balogh, Nóra Imre, Ildikó Hoffmann, Martina Katalin Szabó, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya
Publikováno v:
Computer Speech & Language. 75:101377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24cf1ed193fbd940b493e3973d63036b
https://doi.org/10.1016/j.csl.2022.101377
https://doi.org/10.1016/j.csl.2022.101377
Publikováno v:
ICASSP
Estimating the degree of sleepiness from the human speech is an emerging research problem with straightforward applications. In this study, we employ the x-vector approach, currently the state-of-the-art in speaker recognition, as a neural network fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69b44f12ef1255b23d083f347746ec9c
https://doi.org/10.1109/icassp39728.2021.9413589
https://doi.org/10.1109/icassp39728.2021.9413589
Publikováno v:
IEEE Access, Vol 12, Pp 144106-144121 (2024)
The explore-exploit dilemma in Markov Decision Processes (MDPs) is a fundamental challenge, especially in deterministic environments akin to real-world scenarios. Balancing exploration and exploitation within limited episodes is crucial to optimize d
Externí odkaz:
https://doaj.org/article/6400a6f3e5de4f0a8f33620c750bf639
Publikováno v:
Speech and Computer ISBN: 9783030602758
SPECOM
SPECOM
Screening a cold may be beneficial in the sense of avoiding the propagation of it. In this study, we present a technique for classifying subjects having a cold by using their speech. In order to achieve this goal, we make use of frame-level represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e6817a13a1de657853432d6f1379b67
https://doi.org/10.1007/978-3-030-60276-5_15
https://doi.org/10.1007/978-3-030-60276-5_15
Autor:
Magdolna Pákáski, Ildikó Hoffmann, László Tóth, Veronika Vincze, Davangere P. Devanand, János Kálmán, José Vicente Egas-López, Gábor Gosztolya, Réka Balogh, Nóra Imre
Publikováno v:
Computer Speech & Language. 69:101215
Mild Cognitive Impairment (MCI) is a heterogeneous clinical syndrome, often considered as the prodromal stage of dementia. It is characterized by the subtle deterioration of cognitive functions, including memory, executive functions and language. Mai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a792abf1a430dd2285893febd43ace05
https://doi.org/10.1016/j.csl.2021.101215
https://doi.org/10.1016/j.csl.2021.101215
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7da2da8dfeb829e7b9040c45f77b1807
https://doi.org/10.21437/interspeech.2019-2217
https://doi.org/10.21437/interspeech.2019-2217