Fernando Huenupán

According to our database, Fernando Huenupán authored at least 24 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Humidity and Harmonic Current Considerations for Indices to Estimate Contamination Levels on HV Insulators.

Rodrigo J. Villalobos, Luis A. Morán, Mauricio Inostroza, Alvaro E. Hoffer, Cristian Pesce G., Fernando Huenupán

IEEE Access, 2023

2022

A New Current Transducer for On-Line Monitoring of Leakage Current on HV Insulator Strings.

Rodrigo J. Villalobos, Luis A. Morán, Fernando Huenupán, Francisco Vallejos, Roberto H. Moncada, Cristian Pesce G.

IEEE Access, 2022

2021

End-to-end LSTM based estimation of volcano event epicenter localization.

Néstor Becerra Yoma, Jorge Wuth, Andres Pinto, Nicolas de Celis, Jorge Celis, Fernando Huenupán

CoRR, 2021

LSTM network for the detection of P and S waves in seismic signals from the Nevados de Chillán volcano (Chile).

Macarena Garay, Millaray Curilem, Fernando Huenupán, César San-Martín, María José Castilla

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020

PTZ camera tuning for real time monitoring of cows in grazing fields.

Carlos Muñoz, Juan Ignacio Huircan, Fernando Huenupán, Pedro Cachaña

Proceedings of the 11th IEEE Latin American Symposium on Circuits & Systems, 2020

2019

A Signal Processing Perspective of Monitoring Active Volcanoes [Applications Corner].

Muhammad Salman Khan, Millaray Curilem, Fernando Huenupán, Muhammad Farhan Khan, Néstor Becerra Yoma

IEEE Signal Process. Mag., 2019

On combining features for single-channel robust speech recognition in reverberant environments.

José Novoa, Josué Fredes, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma

CoRR, 2019

Hierachical classification structure based on SVM for volcano seismic events.

Millaray Curilem, Ricardo Soto, Fernando Huenupán, César San-Martín, Luis Franco, Carlos Cardona

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018

An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition.

Juan Pablo Escudero, José Novoa, Rodrigo Mahú, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma

CoRR, 2018

Supervised and Unsupervised Identification of Concept Drifts in Data Streams of Seismic-Volcanic Signals.

Paola Alexandra Castro-Cabrera, Mauricio Orozco-Alzate, César Germán Castellanos-Domínguez, Fernando Huenupán, Luis Enrique Franco

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2018, 2018

2017

Improving the Classification of Volcanic Seismic Events Extracting New Seismic and Speech Features.

Millaray Curilem, Camilo Soto, Fernando Huenupán, César San-Martín, Gustavo Fuentealba, Carlos Cardona, Luis Franco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

Evaluation of the Vocal Tract Length Normalization Based Classifiers for Speaker Verification.

Walid B. Hussein, Sarah Akram Essmat, Néstor Becerra Yoma, Fernando Huenupán

Int. J. Recent Contributions Eng. Sci. IT, 2016

2015

A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification.

Víctor Poblete, Felipe Espic, Simon King, Richard M. Stern, Fernando Huenupán, Josué Fredes, Néstor Becerra Yoma

Comput. Speech Lang., 2015

2014

Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines.

Millaray Curilem, Fernando Huenupán, César San-Martín, Gustavo Fuentealba, Carlos Cardona, Luis Franco, Gonzalo Acuña, Max Chacón

Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

2013

On Reducing Harmonic and Sampling Distortion in Vocal Tract Length Normalization.

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, Ignacio Catalan, Jorge Wuth Sepúlveda

IEEE Trans. Speech Audio Process., 2013

VTLN based on the linear interpolation of contiguous mel filter-bank energies.

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, Ignacio Catalan, Jorge Wuth

Proceedings of the INTERSPEECH 2013, 2013

2010

Maximum Entropy-Based Reinforcement Learning Using a Confidence Measure in Speech Recognition for Telephone Speech.

Carlos Molina, Néstor Becerra Yoma, Fernando Huenupán, Claudio Garretón, Jorge Wuth

IEEE Trans. Speech Audio Process., 2010

2008

Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone speech.

Néstor Becerra Yoma, Claudio Garretón, Carlos Molina, Fernando Huenupán

Speech Commun., 2008

Confidence based multiple classifier fusion in speaker verification.

Fernando Huenupán, Néstor Becerra Yoma, Carlos Molina, Claudio Garretón

Pattern Recognit. Lett., 2008

Unsupervised re-scoring of observation probability based on maximum entropy criterion by using confidence measure with telephone speech.

Carlos Molina, Néstor Becerra Yoma, Fernando Huenupán, Claudio Garretón

Proceedings of the INTERSPEECH 2008, 2008

2007

Unsupervised re-scoring of observation probability in viterbi based on reinforcement learning by using confidence measure and HMM neighborhood.

Carlos Molina, Néstor Becerra Yoma, Fernando Huenupán, Claudio Garretón

Proceedings of the INTERSPEECH 2007, 2007

Speaker verification with multiple classifier fusion using Bayes based confidence measure.

Fernando Huenupán, Néstor Becerra Yoma, Carlos Molina, Claudio Garretón

Proceedings of the INTERSPEECH 2007, 2007

On comparing and combining intra-speaker variability compensation and unsupervised model adaptation in speaker verification.

Claudio Garretón, Néstor Becerra Yoma, Fernando Huenupán, Carlos Molina

Proceedings of the INTERSPEECH 2007, 2007

2006

Intra-speaker variability compensation in speaker verification with limited enrolling data.

Claudio Garretón, Néstor Becerra Yoma, Carlos Molina, Fernando Huenupán

Proceedings of the INTERSPEECH 2006, 2006