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ORCIDFernando Huenupán
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2020 – today
- 2025
[j10]Nicolás Grágeda, Carlos Busso, Eduardo Alvarado, Ricardo García, Rodrigo Mahú, Fernando Huenupán, Néstor Becerra Yoma
:
Speech emotion recognition in real static and dynamic human-robot interaction scenarios. Comput. Speech Lang. 89: 101666 (2025)- 2023
- [j9]Rodrigo J. Villalobos, Luis A. Morán, Mauricio Inostroza, Alvaro E. Hoffer, Cristian Pesce G., Fernando Huenupán:
Humidity and Harmonic Current Considerations for Indices to Estimate Contamination Levels on HV Insulators. IEEE Access 11: 130931-130941 (2023) - 2022
- [j8]Rodrigo J. Villalobos, Luis A. Morán, Fernando Huenupán, Francisco Vallejos, Roberto H. Moncada, Cristian Pesce G.:
A New Current Transducer for On-Line Monitoring of Leakage Current on HV Insulator Strings. IEEE Access 10: 78818-78826 (2022) - 2021
- [c12]Macarena Garay, Millaray Curilem, Fernando Huenupán, César San-Martín, María José Castilla:
LSTM network for the detection of P and S waves in seismic signals from the Nevados de Chillán volcano (Chile). LA-CCI 2021: 1-6 - [i3]Néstor Becerra Yoma, Jorge Wuth, Andres Pinto, Nicolas de Celis, Jorge Celis, Fernando Huenupán:
End-to-end LSTM based estimation of volcano event epicenter localization. CoRR abs/2110.14594 (2021) - 2020
- [c11]Carlos Muñoz, Juan Ignacio Huircan, Fernando Huenupán, Pedro Cachaña:
PTZ camera tuning for real time monitoring of cows in grazing fields. LASCAS 2020: 1-4
2010 – 2019
- 2019
- [j7]Muhammad Salman Khan, Millaray Curilem, Fernando Huenupán, Muhammad Farhan Khan, Néstor Becerra Yoma:
A Signal Processing Perspective of Monitoring Active Volcanoes [Applications Corner]. IEEE Signal Process. Mag. 36(6): 125-163 (2019) - [c10]Millaray Curilem, Ricardo Soto, Fernando Huenupán, César San-Martín, Luis Franco, Carlos Cardona:
Hierachical classification structure based on SVM for volcano seismic events. LA-CCI 2019: 1-6 - [i2]José Novoa, Josué Fredes, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma:
On combining features for single-channel robust speech recognition in reverberant environments. CoRR abs/1906.07299 (2019) - 2018
- [c9]Paola Alexandra Castro-Cabrera, Mauricio Orozco-Alzate, César Germán Castellanos-Domínguez, Fernando Huenupán, Luis Enrique Franco:
Supervised and Unsupervised Identification of Concept Drifts in Data Streams of Seismic-Volcanic Signals. IBERAMIA 2018: 193-205 - [i1]Juan Pablo Escudero, José Novoa, Rodrigo Mahú, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma:
An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition. CoRR abs/1803.09016 (2018) - 2017
- [c8]Millaray Curilem, Camilo Soto, Fernando Huenupán, César San-Martín, Gustavo Fuentealba, Carlos Cardona, Luis Franco:
Improving the Classification of Volcanic Seismic Events Extracting New Seismic and Speech Features. CIARP 2017: 177-185 - 2016
- [j6]Walid B. Hussein, Sarah Akram Essmat, Néstor Becerra Yoma, Fernando Huenupán:
Evaluation of the Vocal Tract Length Normalization Based Classifiers for Speaker Verification. Int. J. Recent Contributions Eng. Sci. IT 4(4): 41-44 (2016) - 2015
- [j5]Víctor Poblete, Felipe Espic, Simon King, Richard M. Stern, Fernando Huenupán, Josué Fredes, Néstor Becerra Yoma:
A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification. Comput. Speech Lang. 31(1): 1-27 (2015) - 2014
- [c7]Millaray Curilem, Fernando Huenupán, César San-Martín, Gustavo Fuentealba, Carlos Cardona, Luis Franco, Gonzalo Acuña, Max Chacón:
Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines. MICAI (2) 2014: 160-171 - 2013
- [j4]Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, Ignacio Catalan, Jorge Wuth Sepúlveda:
On Reducing Harmonic and Sampling Distortion in Vocal Tract Length Normalization. IEEE Trans. Speech Audio Process. 21(1): 108-119 (2013) - [c6]Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, Ignacio Catalan, Jorge Wuth:
VTLN based on the linear interpolation of contiguous mel filter-bank energies. INTERSPEECH 2013: 3337-3341 - 2010
- [j3]Carlos Molina, Néstor Becerra Yoma, Fernando Huenupán, Claudio Garretón, Jorge Wuth:
Maximum Entropy-Based Reinforcement Learning Using a Confidence Measure in Speech Recognition for Telephone Speech. IEEE Trans. Speech Audio Process. 18(5): 1041-1052 (2010)
2000 – 2009
- 2008
- [j2]Fernando Huenupán, Néstor Becerra Yoma, Carlos Molina, Claudio Garretón:
Confidence based multiple classifier fusion in speaker verification. Pattern Recognit. Lett. 29(7): 957-966 (2008) - [j1]Néstor Becerra Yoma, Claudio Garretón, Carlos Molina, Fernando Huenupán:
Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone speech. Speech Commun. 50(11-12): 953-964 (2008) - [c5]Carlos Molina, Néstor Becerra Yoma, Fernando Huenupán, Claudio Garretón:
Unsupervised re-scoring of observation probability based on maximum entropy criterion by using confidence measure with telephone speech. INTERSPEECH 2008: 1016-1019 - 2007
- [c4]Claudio Garretón, Néstor Becerra Yoma, Fernando Huenupán, Carlos Molina:
On comparing and combining intra-speaker variability compensation and unsupervised model adaptation in speaker verification. INTERSPEECH 2007: 770-773 - [c3]Carlos Molina, Néstor Becerra Yoma, Fernando Huenupán, Claudio Garretón:
Unsupervised re-scoring of observation probability in viterbi based on reinforcement learning by using confidence measure and HMM neighborhood. INTERSPEECH 2007: 1733-1736 - [c2]Fernando Huenupán, Néstor Becerra Yoma, Carlos Molina, Claudio Garretón:
Speaker verification with multiple classifier fusion using Bayes based confidence measure. INTERSPEECH 2007: 2041-2044 - 2006
- [c1]Claudio Garretón, Néstor Becerra Yoma, Carlos Molina, Fernando Huenupán:
Intra-speaker variability compensation in speaker verification with limited enrolling data. INTERSPEECH 2006
Coauthor Index
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