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Néstor Becerra Yoma
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2020 – today
- 2025
- [j39]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
- [j38]Catalina Murúa, Marcelo Marín, Aarón Cofré, Jorge Wuth, Oscar Vásquez Pino, Néstor Becerra Yoma:
An end-to-end DNN-HMM based system with duration modeling for robust earthquake detection. Comput. Geosci. 179: 105434 (2023) - [j37]Susannah J. Buchan, Miguel Duran, Constanza Rojas, Jorge Wuth, Rodrigo Mahú, Kathleen M. Stafford, Néstor Becerra Yoma:
An HMM-DNN-Based System for the Detection and Classification of Low-Frequency Acoustic Signals from Baleen Whales, Earthquakes, and Air Guns off Chile. Remote. Sens. 15(10): 2554 (2023) - [j36]Eduardo Alvarado, Nicolás Grágeda, Alejandro Luzanto, Rodrigo Mahú, Jorge Wuth, Laura Mendoza, Néstor Becerra Yoma:
Dyspnea Severity Assessment Based on Vocalization Behavior with Deep Learning on the Telephone. Sensors 23(5): 2441 (2023) - [j35]Eduardo Alvarado, Nicolás Grágeda, Alejandro Luzanto, Rodrigo Mahú, Jorge Wuth, Laura Mendoza, Richard M. Stern, Néstor Becerra Yoma:
Automatic Detection of Dyspnea in Real Human-Robot Interaction Scenarios. Sensors 23(17): 7590 (2023) - [c35]Eduardo Alvarado, Nicolás Grágeda, Alejandro Luzanto, Rodrigo Mahú, Jorge Wuth, Laura Mendoza, Richard M. Stern, Néstor Becerra Yoma:
Respiratory distress estimation in human-robot interaction scenario. INTERSPEECH 2023: 1763-1767 - [c34]Nicolás Grágeda, Eduardo Alvarado, Rodrigo Mahú, Carlos Busso, Néstor Becerra Yoma:
Distant Speech Emotion Recognition in an Indoor Human-robot Interaction Scenario. INTERSPEECH 2023: 3657-3661 - 2022
- [j34]Aarón Cofré, Marcelo Marín, Oscar Vásquez Pino, Nicolás Galleguillos, Sebastián Riquelme, Sergio Barrientos, Néstor Becerra Yoma:
End-to-End LSTM-Based Earthquake Magnitude Estimation With a Single Station. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j33]Alejandro Díaz, Rodrigo Mahú, José Novoa, Jorge Wuth, Jayanta Datta, Néstor Becerra Yoma:
Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios. Comput. Speech Lang. 65: 101136 (2021) - [j32]Jorge Wuth, Pedro Correa, Tomás Núñez, Matías Saavedra, Néstor Becerra Yoma:
The Role of Speech Technology in User Perception and Context Acquisition in HRI. Int. J. Soc. Robotics 13(5): 949-968 (2021) - [j31]José Novoa, Rodrigo Mahú, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Néstor Becerra Yoma:
Automatic Speech Recognition for Indoor HRI Scenarios. ACM Trans. Hum. Robot Interact. 10(2): 17:1-17:30 (2021) - [i9]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
- [i8]Jorge Wuth, Richard M. Stern, Néstor Becerra Yoma:
Non causal deep learning based dereverberation. CoRR abs/2009.02832 (2020)
2010 – 2019
- 2019
- [j30]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) - [i7]José Novoa, Rodrigo Mahú, Alejandro Díaz, Jorge Wuth, Richard M. Stern, Néstor Becerra Yoma:
Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction. CoRR abs/1906.07298 (2019) - [i6]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
- [j29]José Novoa, Josué Fredes, Víctor Poblete, Néstor Becerra Yoma:
Uncertainty weighting and propagation in DNN-HMM-based speech recognition. Comput. Speech Lang. 47: 30-46 (2018) - [c33]José Novoa, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Rodrigo Mahú, Néstor Becerra Yoma:
DNN-HMM based Automatic Speech Recognition for HRI Scenarios. HRI 2018: 150-159 - [i5]José Novoa, Juan Pablo Escudero, Josué Fredes, Jorge Wuth, Rodrigo Mahú, Néstor Becerra Yoma:
Multichannel Robot Speech Recognition Database: MChRSR. CoRR abs/1801.00061 (2018) - [i4]Juan Pablo Escudero, Víctor Poblete, José Novoa, Jorge Wuth, Josué Fredes, Rodrigo Mahú, Richard M. Stern, Néstor Becerra Yoma:
Highly-Reverberant Real Environment database: HRRE. CoRR abs/1801.09651 (2018) - [i3]José Novoa, Juan Pablo Escudero, Jorge Wuth, Víctor Poblete, Simon King, Richard M. Stern, Néstor Becerra Yoma:
Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments. CoRR abs/1803.09013 (2018) - [i2]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
- [j28]Rodrigo Mahú, Patricio M. Rojo, Ali Dehghan Firoozabadi, Ismael Soto, Elyar Sedaghati, Néstor Becerra Yoma:
Estimation of exoplanetary planet-to-star radius ratio with homomorphic processing. Astron. Comput. 20: 160-167 (2017) - [j27]Walid B. Hussein, Sarah Akram Essmat, Néstor Becerra Yoma:
On Bubble Sizing in Water by Ultrasound. Int. J. Interact. Mob. Technol. 11(2): 128-138 (2017) - [j26]Josué Fredes, José Novoa, Simon King, Richard M. Stern, Néstor Becerra Yoma:
Locally Normalized Filter Banks Applied to Deep Neural-Network-Based Robust Speech Recognition. IEEE Signal Process. Lett. 24(4): 377-381 (2017) - [j25]Muhammad Salman Khan, James Jenkins, Néstor Becerra Yoma:
Discovering New Worlds: A review of signal processing methods for detecting exoplanets from astronomical radial velocity data [Applications Corner]. IEEE Signal Process. Mag. 34(1): 104-115 (2017) - [c32]José Novoa, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Rodrigo Mahú, Richard M. Stern, Néstor Becerra Yoma:
Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction. INTERSPEECH 2017: 839-843 - [i1]José Novoa, Josué Fredes, Néstor Becerra Yoma:
DNN-based uncertainty estimation for weighted DNN-HMM ASR. CoRR abs/1705.10368 (2017) - 2016
- [j24]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) - [c31]Víctor Poblete, Juan Pablo Escudero, Josué Fredes, José Novoa, Richard M. Stern, Simon King, Néstor Becerra Yoma:
The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms. INTERSPEECH 2016: 2373-2377 - 2015
- [j23]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) - [c30]Josué Fredes, José Novoa, Víctor Poblete, Simon King, Richard M. Stern, Néstor Becerra Yoma:
Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification. INTERSPEECH 2015: 3011-3015 - 2014
- [j22]Juan Pablo Arias, Carlos Busso, Néstor Becerra Yoma:
Shape-based modeling of the fundamental frequency contour for emotion detection in speech. Comput. Speech Lang. 28(1): 278-294 (2014) - [j21]Víctor Poblete, Néstor Becerra Yoma, Richard M. Stern:
Optimization of the parameters characterizing sigmoidal rate-level functions based on acoustic features. Speech Commun. 56: 19-34 (2014) - [c29]Daniel Iturralde, Cesar A. Azurdia-Meza, Nicolas Krommenacker, Ismael Soto, Zabih Ghassemlooy, Néstor Becerra Yoma:
A new location system for an underground mining environment using visible light communications. CSNDSP 2014: 1165-1169 - 2013
- [j20]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) - [c28]Víctor Poblete, Néstor Becerra Yoma, Richard M. Stern:
Optimization of sigmoidal rate-level function based on acoustic features. INTERSPEECH 2013: 896-900 - [c27]Juan Pablo Arias, Carlos Busso, Néstor Becerra Yoma:
Energy and F0 contour modeling with functional data analysis for emotional speech detection. INTERSPEECH 2013: 2871-2875 - [c26]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 - 2012
- [j19]Claudio Garretón, Néstor Becerra Yoma:
Telephone Channel Compensation in Speaker Verification Using a Polynomial Approximation in the Log-Filter-Bank Energy Domain. IEEE Trans. Speech Audio Process. 20(1): 336-341 (2012) - [c25]Jorge Wuth, Néstor Becerra Yoma, Leopoldo Benavides, Hiram Vivanco:
Pronunciation quality evaluation of sentences by combining word based scores. INTERSPEECH 2012: 1279-1282 - 2011
- [c24]Carlos Molina, Sungbok Lee, Shrikanth S. Narayanan, Néstor Becerra Yoma:
A Study of the Effectiveness of Articulatory Strokes for Phonemic Recognition. INTERSPEECH 2011: 2513-2516 - 2010
- [j18]Juan Pablo Arias, Néstor Becerra Yoma, Hiram Vivanco:
Automatic intonation assessment for computer aided language learning. Speech Commun. 52(3): 254-267 (2010) - [j17]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) - [j16]Claudio Garretón, Néstor Becerra Yoma, Matias Torres:
Channel Robust Feature Transformation Based on Filter-Bank Energy Filtering. IEEE Trans. Speech Audio Process. 18(5): 1082-1086 (2010) - [c23]Claudio Garretón, Néstor Becerra Yoma:
On enhancing feature sequence filtering with filter-bank energy transformation in speaker verification with telephone speech. INTERSPEECH 2010: 1461-1464
2000 – 2009
- 2009
- [j15]Carlos Molina, Néstor Becerra Yoma, Jorge Wuth, Hiram Vivanco:
ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion. Speech Commun. 51(6): 485-498 (2009) - [c22]Juan Pablo Arias, Néstor Becerra Yoma, Hiram Vivanco:
Word stress assessment for computer aided language learning. INTERSPEECH 2009: 1135-1138 - [c21]Carlos Molina, Néstor Becerra Yoma, Jorge Wuth, Hiram Vivanco:
ASR based pronunciation evaluation with automatically generated competing vocabulary. INTERSPEECH 2009: 1907-1910 - 2008
- [j14]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) - [j13]Isabel Trancoso, Néstor Becerra Yoma, Plínio Almeida Barbosa, Rubén San Segundo, Kuldip K. Paliwal:
Special Issue on Iberian Languages. Speech Commun. 50(11-12): 872-873 (2008) - [j12]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) - [c20]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
- [c19]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 - [c18]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 - [c17]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
- [j11]Iván Jirón, Ismael Soto, Rolando A. Carrasco, Néstor Becerra Yoma:
Hyperelliptic curves encryption combined with block codes for Gaussian channel. Int. J. Commun. Syst. 19(7): 809-830 (2006) - [j10]Néstor Becerra Yoma, Carlos Molina:
Feature-dependent compensation of coders in speech recognition. Signal Process. 86(1): 38-49 (2006) - [j9]Alejandro Bassi, Néstor Becerra Yoma, Patricio Loncomilla:
Estimating tonal prosodic discontinuities in Spanish using HMM. Speech Commun. 48(9): 1112-1125 (2006) - [j8]Néstor Becerra Yoma, Carlos Molina, Jorge F. Silva, Carlos Busso:
Modeling, estimating, and compensating low-bit rate coding distortion in speech recognition. IEEE Trans. Speech Audio Process. 14(1): 246-255 (2006) - [c16]Claudio Garretón, Néstor Becerra Yoma, Carlos Molina, Fernando Huenupán:
Intra-speaker variability compensation in speaker verification with limited enrolling data. INTERSPEECH 2006 - 2005
- [j7]Néstor Becerra Yoma, Jorge Carrasco, Carlos Molina:
Bayes-based confidence measure in speech recognition. IEEE Signal Process. Lett. 12(11): 745-748 (2005) - 2004
- [j6]Néstor Becerra Yoma, Juan Hood, Carlos Busso:
A real-time protocol for the Internet based on the least mean square algorithm. IEEE Trans. Multim. 6(1): 174-184 (2004) - [c15]Ivan Brito, Néstor Becerra Yoma, Carlos Molina:
Feature-dependent compensation in speech recognition. INTERSPEECH 2004: 2057-2060 - [c14]Néstor Becerra Yoma, Ivan Brito, Carlos Molina:
The stochastic weighted viterbi algorithm: a frame work to compensate additive noise and low-bit rate coding distortion. INTERSPEECH 2004: 2821-2824 - 2003
- [c13]Néstor Becerra Yoma, Ivan Brito, Jorge F. Silva:
Language model accuracy and uncertainty in noise cancelling in the stochastic weighted viterbi algorithm. INTERSPEECH 2003: 2193-2196 - 2002
- [j5]Néstor Becerra Yoma, Tarciano Facco Pegoraro:
Robust speaker verification with state duration modeling. Speech Commun. 38(1-2): 77-88 (2002) - [j4]Néstor Becerra Yoma, Miguel Villar Fernandez:
Speaker verification in noise using a stochastic version of the weighted Viterbi algorithm. IEEE Trans. Speech Audio Process. 10(3): 158-166 (2002) - [j3]Néstor Becerra Yoma, Jorge F. Silva:
MAP speaker adaptation of state duration distributions for speech recognition. IEEE Trans. Speech Audio Process. 10(7): 443-450 (2002) - [c12]Néstor Becerra Yoma, Angela Cortés, Mauricio Hormazábal, Enrique López:
Wizard of oz evaluation of a dialogue with communicator system in Chile. INTERSPEECH 2002: 2701-2704 - 2001
- [j2]Néstor Becerra Yoma, Fergus R. McInnes, Mervyn A. Jack, Sandra Dotto Stump, Lee Luan Ling:
On including temporal constraints in Viterbi alignment for speech recognition in noise. IEEE Trans. Speech Audio Process. 9(2): 179-182 (2001) - [c11]Néstor Becerra Yoma, Jorge F. Silva:
Speaker adaptation of output probabilities and state duration distributions for speech recognition. INTERSPEECH 2001: 1257-1260 - [c10]Néstor Becerra Yoma, Miguel Villar Fernandez:
Additive and convolutional noise canceling in speaker verification using a stochastic weighted viterbi algorithm. INTERSPEECH 2001: 2845-2848 - 2000
- [c9]Néstor Becerra Yoma:
Speaker dependent temporal constraints combined with speaker independent HMM for speech recognition in noise. INTERSPEECH 2000: 526-529 - [c8]Néstor Becerra Yoma, Tarciano Facco Pegoraro:
Speaker verification in noise using temporal constraints. INTERSPEECH 2000: 1021-1024
1990 – 1999
- 1999
- [c7]Néstor Becerra Yoma, Lee Luan Ling, Sandra Dotto Stump:
Temporal constraints in viterbi alignment for speech recognition in noise. EUROSPEECH 1999: 2861-2864 - [c6]Néstor Becerra Yoma, Lee Luan Ling, Sandra Dotto Stump:
Robust connected word speech recognition using weighted viterbi algorithm and context-dependent temporal constraints. EUROSPEECH 1999: 2869-2872 - 1998
- [b1]Néstor Becerra Yoma:
Speech recognition in noise using weighted matching algorithms. University of Edinburgh, UK, 1998 - [j1]Néstor Becerra Yoma, Fergus R. McInnes, Mervyn A. Jack:
Improving performance of spectral subtraction in speech recognition using a model for additive noise. IEEE Trans. Speech Audio Process. 6(6): 579-582 (1998) - [c5]Néstor Becerra Yoma, Fergus R. McInnes, Mervyn A. Jack:
Weighted Viterbi algorithm and state duration modelling for speech recognition in noise. ICASSP 1998: 709-712 - 1997
- [c4]Néstor Becerra Yoma, Fergus R. McInnes, Mervyn A. Jack:
Weighted matching algorithms and reliability in noise cancelling by spectral subtraction. ICASSP 1997: 1171-1174 - [c3]Néstor Becerra Yoma, Fergus R. McInnes, Mervyn A. Jack:
Spectral subtraction and mean normalization in the context of weighted matching algorithms. EUROSPEECH 1997: 1411-1414 - 1996
- [c2]Néstor Becerra Yoma, Fergus R. McInnes, Mervyn A. Jack:
Use of a reliability coefficient in noise cancelling by neural net and weighted matching algorithms. ICSLP 1996: 2297-2300 - 1995
- [c1]Néstor Becerra Yoma, Fergus R. McInnes, Mervyn A. Jack:
Improved algorithms for speech recognition in noise using lateral inhibition and SNR weighting. EUROSPEECH 1995: 461-464
Coauthor Index
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