Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Héctor A. Sánchez-Hevia"'
Publikováno v:
Multimedia Tools and Applications. 81:3535-3552
This paper analyses the performance of different types of Deep Neural Networks to jointly estimate age and identify gender from speech, to be applied in Interactive Voice Response systems available in call centres. Deep Neural Networks are used, beca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc942fe083dd4de4b3366aaf898dc24e
https://doi.org/10.1007/s11042-021-11614-4
https://doi.org/10.1007/s11042-021-11614-4
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030625788
WAF
WAF
This paper deals with joint gender identification and age group classification from speech, aimed at improving the functionalities of Interactive Voice Response Systems. Deep Neural Networks are used, because they have recently demonstrated discrimin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeefe4a78b5ed365d8d387dc0661230d
https://doi.org/10.1007/978-3-030-62579-5_23
https://doi.org/10.1007/978-3-030-62579-5_23
Publikováno v:
Applied Acoustics. 179:108005
Impulsive audio events such as gunshots, explosions or glass shattering, are commonly associated with security threats, thus they are of particular interest for automated acoustic surveillance. Even though impulsive audio events are greatly influence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd6446b3dd692cacfaa28e4ccc46e0ce
https://doi.org/10.1016/j.apacoust.2021.108005
https://doi.org/10.1016/j.apacoust.2021.108005
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c51cf0d45fccfb4a0c96eb118b4f6ae
https://doi.org/10.21437/interspeech.2019-3104
https://doi.org/10.21437/interspeech.2019-3104
Publikováno v:
2019 Signal Processing Symposium (SPSympo).
This paper deals with age prediction and gender distinction for Interactive Voice Response system. The proposed algorithm uses a convolutional-recurrent neural network. A public dataset is used for training and testing the proposed algorithms. Gender
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d87cb0a60490ca0bd5564bb14c962b67
https://doi.org/10.1109/sps.2019.8881961
https://doi.org/10.1109/sps.2019.8881961
Autor:
David Ayllón, Roberto Gil-Pita, Manuel Rosa Zurera, Héctor A. Sánchez-Hevia, Manuel Utrilla Manso
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 65:783-794
Locating the nodes in wireless sensor networks (WSNs) is currently a very active area of research due to their increasing number of potential applications. Wireless networks composed of smartphones have gained particular interest, mainly due to the h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dca343cd06f2cf420751a5efd14fe79
https://doi.org/10.1109/tim.2015.2494629
https://doi.org/10.1109/tim.2015.2494629
Autor:
Héctor A. Sánchez-Hevia, Marta Bautista-Durán, Inma Mohino-Herranz, Joaquín García-Gómez, Roberto Gil-Pita, Manuel Rosa-Zurera
Publikováno v:
ICPRAM
ResearcherID
ResearcherID
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce5db3d33321d3a04c49ab25f3c85ec
https://doi.org/10.5220/0006195004560462
https://doi.org/10.5220/0006195004560462
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2017 (2017)
We propose a new acoustic self-localization and orientation estimation algorithm for smartphones networks composed of commercial off-the-shelf devices equipped with two microphones and a speaker. Each smartphone acts as an acoustic transceiver, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fc18da26bbe3437549c8dc87db29973
Autor:
Inma Mohino-Herranz, Manuel Utrilla-Manso, Roberto Gil-Pita, Héctor A. Sánchez-Hevia, Manuel Rosa-Zurera, Cosme Llerena-Aguilar
Publikováno v:
SAM
Current research in the field of Wireless Acoustic Sensor Networks (WASN) is gradually introducing the use of sound spatial techniques in the field of binaural hearing aids, in which sound environment information must be extracted in order to tune up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f3098211b131bfe76b1bb34245a144a
https://doi.org/10.1109/sam.2016.7569708
https://doi.org/10.1109/sam.2016.7569708
Autor:
José Ranilla, Alberto Cocaña-Fernández, Luciano Sánchez, Héctor A. Sánchez-Hevia, Roberto Gil-Pita
Publikováno v:
SAM
In this work, a classifier that jointly optimises the expected total classification cost and the energy consumption is presented. A numerical study is provided, where different alternatives are implemented on a hearing aid. Our proposal is capable of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39b5fa0598791b168c8c60253fdc1ae6
https://doi.org/10.1109/sam.2016.7569699
https://doi.org/10.1109/sam.2016.7569699