Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Manuel Utrilla Manso"'
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7301 (2021)
Acoustic analysis of materials is a common non-destructive technique, but most efforts are focused on the ultrasonic range. In the audible range, such studies are generally devoted to audio engineering applications. Ultrasonic sound has evident advan
Externí odkaz:
https://doaj.org/article/22a3474dfddb4d0d8e8eaeebd84b1cac
Autor:
Pilar García Díaz, Juan Antonio Martínez Rojas, Manuel Utrilla Manso, Leticia Monasterio Expósito
Publikováno v:
Sensors, Vol 18, Iss 8, p 2695 (2018)
A new haptic sensor that is based on vibration produced by mechanical excitation from a clock coupled to a resonant cavity is presented. This sensor is intended to determine the chemical composition of liquid mixtures in a completely non-destructive
Externí odkaz:
https://doaj.org/article/54ae4d6ffc574d31bd811a01a083df90
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
Autor:
Inma Mohino-Herranz, Joaquín García-Gómez, Miguel Aguilar-Ortega, Manuel Utrilla-Manso, Roberto Gil-Pita, Manuel Rosa-Zurera
Publikováno v:
Electronics; Volume 11; Issue 12; Pages: 1811
This paper presents the Real-Life Indoor Sound Event Dataset (ReaLISED), a new database which has been developed to contribute to the scientific advance by providing a large amount of real labeled indoor audio event recordings. They offer the scienti
Publikováno v:
2021 Signal Processing Symposium (SPSympo).
This paper presents a study of errors in sound source position estimation with two microphone arrays. At least two microphone arrays are needed to estimate the position of sound sources, and the position is obtained by solving a system of linear equa
Autor:
Manuel Utrilla Manso, Pilar García Díaz, Juan Antonio Martínez Rojas, Jesús Alpuente Hermosilla
Publikováno v:
Applied Sciences, Vol 11, Iss 7301, p 7301 (2021)
Applied Sciences
Volume 11
Issue 16
Applied Sciences
Volume 11
Issue 16
Acoustic analysis of materials is a common non-destructive technique, but most efforts are focused on the ultrasonic range. In the audible range, such studies are generally devoted to audio engineering applications. Ultrasonic sound has evident advan
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:
Signal Processing. 134:166-173
Nowadays, some of the most successful sound source separation methods are based on the assumption of sparse sources. A large number of those separation solutions consist of two parts: the mixing matrix estimation and the separation stages. Concerning
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
Autor:
Manuel Utrilla-Manso, Inma Mohino-Herranz, Joaquín García-Gómez, Manuel Rosa-Zurera, Miguel Aguilar-Ortega, Roberto Gil-Pita
Publikováno v:
Applied Acoustics. 175:107832
Hearing loss is a common issue when people become older, resulting in problems such as depression, risk of dementia, and cognitive decline, among others. Hearing aids are computationally constrained devices that offer the possibility of solving this