Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Huenupan, Fernando"'
Autor:
Grágeda, Nicolás, Busso, Carlos, Alvarado, Eduardo, García, Ricardo, Mahu, Rodrigo, Huenupan, Fernando, Yoma, Néstor Becerra
Publikováno v:
In Computer Speech & Language January 2025 89
Autor:
Yoma, Nestor Becerra, Wuth, Jorge, Pinto, Andres, de Celis, Nicolas, Celis, Jorge, Huenupan, Fernando
In this paper, an end-to-end based LSTM scheme is proposed to address the problem of volcano event localization without any a priori model relating phase picking with localization estimation. It is worth emphasizing that automatic phase picking in vo
Externí odkaz:
http://arxiv.org/abs/2110.14594
Autor:
Figueroa, Carla, Guillén, Virginia, Huenupán, Fernando, Vallejos, Carla, Henríquez, Emanuel, Urrutia, Felipe, Sanhueza, Francisca, Alarcón, Enzo
Publikováno v:
In Journal of Voice August 2024
Autor:
Novoa, José, Fredes, Josué, Wuth, Jorge, Huenupán, Fernando, Stern, Richard M., Yoma, Nestor Becerra
This paper addresses the combination of complementary parallel speech recognition systems to reduce the error rate of speech recognition systems operating in real highly-reverberant environments. First, the testing environment consists of recordings
Externí odkaz:
http://arxiv.org/abs/1906.07299
Autor:
Castilla, María-José, Huenupan, Fernando, Curilem, Millaray, Fustos, Ivo, San Martin, Cesar, Franco-Marin, Luis
Publikováno v:
In Journal of Volcanology and Geothermal Research March 2023 435
Autor:
Escudero, Juan Pablo, Novoa, José, Mahu, Rodrigo, Wuth, Jorge, Huenupán, Fernando, Stern, Richard, Yoma, Néstor Becerra
Reverberation and additive noise have detrimental effects on the performance of automatic speech recognition systems. In this paper we explore the ability of a DNN-based spectral feature mapping to remove the effects of reverberation and additive noi
Externí odkaz:
http://arxiv.org/abs/1803.09016
Autor:
Yoma, Néstor Becerra, Wuth, Jorge, Pinto, Andrés, de Celis, Nicolás, Celis, Jorge, Huenupan, Fernando, Fustos-Toribio, Ivo Janos
Publikováno v:
In Journal of Volcanology and Geothermal Research September 2022 429
In-depth comparison of deep artificial neural network architectures on seismic events classification
Publikováno v:
In Journal of Volcanology and Geothermal Research 1 September 2020 401
Autor:
Curilem, Millaray, de Mello, Rodrigo Fernandes, Huenupan, Fernando, San Martin, Cesar, Franco, Luis, Hernández, Erasmo, Rios, Ricardo Araújo
Publikováno v:
In Journal of Volcanology and Geothermal Research 15 November 2018 367:63-78
Publikováno v:
In Journal of Volcanology and Geothermal Research 1 June 2018 358:194-206