Intra-speaker variability compensation in speaker verification with limited enrolling data. - Claudio Garretón; Néstor Becerra Yoma; Carlos Molina; Fernando Huenupán (INTERSPEECH, 2006)

On comparing and combining intra-speaker variability compensation and unsupervised model adaptation in speaker verification. - Claudio Garretón; Néstor Becerra Yoma; Fernando Huenupán; Carlos Molina (INTERSPEECH, 2007)

Speaker verification with multiple classifier fusion using Bayes based confidence measure. - Fernando Huenupán; Néstor Becerra Yoma; Carlos Molina; Claudio Garretón (INTERSPEECH, 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 (INTERSPEECH, 2007)

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 (INTERSPEECH, 2008)

Confidence based multiple classifier fusion in speaker verification. - Fernando Huenupán; Néstor Becerra Yoma; Carlos Molina; Claudio Garretón (Pattern Recognit. Lett., 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)

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)

VTLN based on the linear interpolation of contiguous mel filter-bank energies. - Néstor Becerra Yoma; Claudio Garretón; Fernando Huenupán; Ignacio Catalan; Jorge Wuth (INTERSPEECH, 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)

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 (MICAI (2), 2014)

A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification. - Víctor Poblete; Felipe Espic; Simon King 001; Richard M. Stern; Fernando Huenupán; Josué Fredes; Néstor Becerra Yoma (Comput. Speech Lang., 2015)

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)

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 (CIARP, 2017)

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 (IBERAMIA, 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)

Hierachical classification structure based on SVM for volcano seismic events. - Millaray Curilem; Ricardo Soto 002; Fernando Huenupán; César San-Martín; Luis Franco; Carlos Cardona (LA-CCI, 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)

A Signal Processing Perspective of Monitoring Active Volcanoes [Applications Corner]. - Muhammad Salman Khan 001; Millaray Curilem; Fernando Huenupán; Muhammad Farhan Khan; Néstor Becerra Yoma (IEEE Signal Process. Mag., 2019)

PTZ camera tuning for real time monitoring of cows in grazing fields. - Carlos Muñoz; Juan Ignacio Huircan; Fernando Huenupán; Pedro Cachaña (LASCAS, 2020)

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 (LA-CCI, 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)

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)

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)

Improving volcanic event recognition through new seismic signals representation. - Camilo Espinosa-Curilem; Camilo Soto Novoa; Glória Curilem Saldías; Fernando Huenupán Quinan; Doris Sáez Hueichapan; Daniel Basualto Alarcón (LA-CCI, 2024)

Speech emotion recognition in real static and dynamic human-robot interaction scenarios. - Nicolás Grágeda; Carlos Busso; Eduardo Alvarado; Ricardo García; Rodrigo Mahú; Fernando Huenupán; Néstor Becerra Yoma (Comput. Speech Lang., 2025)