Néstor Becerra Yoma

发表

Use of a reliability coefficient in noise cancelling by neural net and weighted matching algorithms

Mervyn A. Jack, Fergus R. McInnes, Néstor Becerra Yoma, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

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

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2013, INTERSPEECH.

Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP-97)

Fergus McInnes, Mervyn Jack, Néstor Becerra Yoma, 1997 .

Shape-based modeling of the fundamental frequency contour for emotion detection in speech

Carlos Busso, Néstor Becerra Yoma, Juan Pablo Arias, 2014, Comput. Speech Lang..

Channel Robust Feature Transformation Based on Filter-Bank Energy Filtering

Néstor Becerra Yoma, Claudio Garretón, M. Torres, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Optimization of the parameters characterizing sigmoidal rate-level functions based on acoustic features

Richard M. Stern, Néstor Becerra Yoma, Vı́ctor Poblete, 2014, Speech Commun..

Modeling, estimating, and compensating low-bit rate coding distortion in speech recognition

Carlos Busso, Jorge F. Silva, Néstor Becerra Yoma, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Estimating tonal prosodic discontinuities in Spanish using HMM

Patricio Loncomilla, Néstor Becerra Yoma, Alejandro Bassi, 2006, Speech Commun..

Optimization of sigmoidal rate-level function based on acoustic features

Richard M. Stern, Néstor Becerra Yoma, Víctor Poblete, 2013, INTERSPEECH.

The Role of Speech Technology in User Perception and Context Acquisition in HRI

Néstor Becerra Yoma, Jorge Wuth, Pedro Correa, 2020, International Journal of Social Robotics.

Uncertainty weighting and propagation in DNN-HMM-based speech recognition

Néstor Becerra Yoma, Víctor Poblete, José Novoa, 2018, Comput. Speech Lang..

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

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2008, INTERSPEECH.

On enhancing feature sequence filtering with filter-bank energy transformation in speaker verification with telephone speech

Néstor Becerra Yoma, Claudio Garretón, 2010, INTERSPEECH.

Robust connected word speech recognition using weighted viterbi algorithm and context-dependent temporal constraints

Lee Luan Ling, Néstor Becerra Yoma, Sandra Dotto Stump, 1999, EUROSPEECH.

Lateral inhibition net and weighted matching algorithms for speech recognition in noise

Fergus McInnes, Mervyn Jack, Néstor Becerra Yoma, 1996 .

An unsupervised Hidden Markov Model-based system for the detection and classification of blue whale vocalizations off Chile

Néstor Becerra Yoma, Jorge Wuth, Susannah J. Buchan, 2019, Bioacoustics.

Weighted Viterbi algorithm and state duration modelling for speech recognition in noise

Mervyn A. Jack, Fergus R. McInnes, Néstor Becerra Yoma, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Locally Normalized Filter Banks Applied to Deep Neural-Network-Based Robust Speech Recognition

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2017, IEEE Signal Processing Letters.

Highly-Reverberant Real Environment database: HRRE pdf

Richard M. Stern, Néstor Becerra Yoma, Jorge Wuth, 2018, ArXiv.

Hyperelliptic curves encryption combined with block codes for Gaussian channel

Néstor Becerra Yoma, Ismael Soto, Rolando A. Carrasco, 2006, Int. J. Commun. Syst..

Language model accuracy and uncertainty in noise cancelling in the stochastic weighted viterbi algorithm

Jorge F. Silva, Néstor Becerra Yoma, Ivan Brito, 2003, INTERSPEECH.

Speaker verification with multiple classifier fusion using Bayes based confidence measure

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2007, INTERSPEECH.

Speaker dependent temporal constraints combined with speaker independent HMM for speech recognition in noise

Néstor Becerra Yoma, 2000, INTERSPEECH.

Robust speech pulse detection using adaptive noise modelling and non-stationarity measure

Fergus McInnes, Néstor Becerra Yoma, Mervyn Jack, 1996, Proceedings of IVTTA '96. Workshop on Interactive Voice Technology for Telecommunications Applications.

Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction pdf

Richard M. Stern, Néstor Becerra Yoma, Jorge Wuth, 2019, ArXiv.

Speaker verification in noise using a stochastic version of the weighted Viterbi algorithm

Néstor Becerra Yoma, Miguel Villar Fernandez, 2002, IEEE Trans. Speech Audio Process..

Improved algorithms for speech recognition in noise using lateral inhibition and SNR weighting

Mervyn A. Jack, Fergus R. McInnes, Néstor Becerra Yoma, 1995, EUROSPEECH.

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

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction

Richard M. Stern, Néstor Becerra Yoma, Jorge Wuth, 2017, INTERSPEECH.

In Order to Measure Qos Parameters (

Néstor Becerra Yoma, Juan Hood Llanos, Carlos Busso Recabarren, 2002 .

Multicriteria-Based Computer-Aided Pronunciation Quality Evaluation of Sentences

Néstor Becerra Yoma, Leopoldo Benavides Berrios, Jorge Wuth Sepulveda, 2013 .

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

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2007, INTERSPEECH.

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

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2007, INTERSPEECH.

Speech recognition in noise using weighted matching algorithms

Néstor Becerra Yoma, N. B. Yoma, 1998 .

Spectral subtraction and mean normalization in the context of weighted matching algorithms

Mervyn A. Jack, Fergus R. McInnes, Néstor Becerra Yoma, 1997, EUROSPEECH.

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

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2015, Comput. Speech Lang..

Special Issue on Iberian Languages

Kuldip K. Paliwal, Rubén San-Segundo-Hernández, Isabel Trancoso, 2008, Speech Commun..

DNN-HMM based Automatic Speech Recognition for HRI Scenarios

Néstor Becerra Yoma, Jorge Wuth, José Novoa, 2018, 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Additive and convolutional noise canceling in speaker verification using a stochastic weighted viterbi algorithm

Néstor Becerra Yoma, Miguel Villar Fernandez, 2001, INTERSPEECH.

Telephone Channel Compensation in Speaker Verification Using a Polynomial Approximation in the Log-Filter-Bank Energy Domain

Néstor Becerra Yoma, Claudio Garretón, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

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

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2008, Speech Commun..

Robust speaker verification with state duration modeling

Néstor Becerra Yoma, Tarciano Facco Pegoraro, 2002, Speech Commun..

Speaker verification in noise using temporal constraints

Néstor Becerra Yoma, Tarciano Facco Pegoraro, 2000, INTERSPEECH.

MAP speaker adaptation of state duration distributions for speech recognition

Néstor Becerra Yoma, Jorge Silva Sánchez, 2002, IEEE Trans. Speech Audio Process..

Implantable Neuroamplifers for Electrocorticography Using Flexible and Biocompatible Technology

Waldo Nogueira, Theodor Doll, Néstor Becerra Yoma, 2020 .

The stochastic weighted viterbi algorithm: a frame work to compensate additive noise and low-bit rate coding distortion

Néstor Becerra Yoma, Carlos Molina, Ivan Brito, 2004, INTERSPEECH.

Wizard of oz evaluation of a dialogue with communicator system in Chile

Néstor Becerra Yoma, Enrique López, Angela Cortés, 2002, INTERSPEECH.

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

Richard M. Stern, Néstor Becerra Yoma, Fernando Huenupán, 2019, ArXiv.

The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2016, INTERSPEECH.

On Reducing Harmonic and Sampling Distortion in Vocal Tract Length Normalization

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Multichannel Robot Speech Recognition Database: MChRSR pdf

Néstor Becerra Yoma, Jorge Wuth, José Novoa, 2017, ArXiv.

On including temporal constraints in Viterbi alignment for speech recognition in noise

Lee Luan Ling, Mervyn A. Jack, Fergus R. McInnes, 2001, IEEE Trans. Speech Audio Process..

DNN-based uncertainty estimation for weighted DNN-HMM ASR pdf

Néstor Becerra Yoma, José Novoa, Josué Fredes, 2017, ArXiv.

Feature-dependent compensation in speech recognition

Néstor Becerra Yoma, Carlos Molina, Ivan Brito, 2004, INTERSPEECH.

Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments pdf

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2018, ArXiv.

On Bubble Sizing in Water by Ultrasound

Néstor Becerra Yoma, Walid B. Hussein, Sarah Akram Essmat, 2017, Int. J. Interact. Mob. Technol..

Bayes-based confidence measure in speech recognition

Néstor Becerra Yoma, Carlos Molina, J. Carrasco, 2005, IEEE Signal Processing Letters.

Confidence based multiple classifier fusion in speaker verification

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2008, Pattern Recognit. Lett..

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

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2006, INTERSPEECH.

A real-time protocol for the Internet based on the least mean square algorithm

Carlos Busso, Néstor Becerra Yoma, Juan Hood, 2004, IEEE Transactions on Multimedia.

Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2015, INTERSPEECH.

On‐Line Linear Combination of Classifiers Based on Incremental Information in Speaker Verification

Néstor Becerra Yoma, Claudio Garretón, Fernando Huenupán, 2010 .

On discriminating sizes of CFD generated bubbles with signal processing analysis

Muhammad Salman Khan, Néstor Becerra Yoma, Alvaro Valencia, 2015 .

ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion

Néstor Becerra Yoma, Jorge Wuth, Carlos Molina, 2009, Speech Commun..

Pronunciation quality evaluation of sentences by combining word based scores

Néstor Becerra Yoma, Jorge Wuth, Hiram Vivanco, 2012, INTERSPEECH.

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

Néstor Becerra Yoma, Fernando Huenupán, Walid B. Hussein, 2016, Int. J. Recent Contributions Eng. Sci. IT.

Feature-dependent compensation of coders in speech recognition

Néstor Becerra Yoma, Carlos Molina, N. B. Yoma, 2006, Signal Process..

Speaker adaptation of output probabilities and state duration distributions for speech recognition

Jorge F. Silva, Néstor Becerra Yoma, 2001, INTERSPEECH.

A new location system for an underground mining environment using visible light communications

Zabih Ghassemlooy, Cesar A. Azurdia-Meza, Nicolas Krommenacker, 2014, 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP).

Weighted matching algorithms and reliability in noise cancelling by spectral subtraction

Mervyn A. Jack, Fergus R. McInnes, Néstor Becerra Yoma, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios

Néstor Becerra Yoma, Jorge Wuth, José Novoa, 2021, Comput. Speech Lang..

Energy and F0 contour modeling with functional data analysis for emotional speech detection

Carlos Busso, Néstor Becerra Yoma, Juan Pablo Arias, 2013, INTERSPEECH.

Automatic intonation assessment for computer aided language learning

Néstor Becerra Yoma, Juan Pablo Arias, Hiram Vivanco, 2010, Speech Commun..

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

Richard M. Stern, Néstor Becerra Yoma, Fernando Huenupán, 2018, ArXiv.

A Study of the Effectiveness of Articulatory Strokes for Phonemic Recognition

Shrikanth S. Narayanan, Sungbok Lee, Néstor Becerra Yoma, 2011, INTERSPEECH.