Ruben Zazo
Cited by
Cited by
Voice activity detection
TN Sainath, G Simko, MCP San Martin, RZ Candil
US Patent 10,229,700, 2019
Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks
R Zazo, A Lozano-Diez, J Gonzalez-Dominguez, DT Toledano, ...
PloS one 11 (1), 2016
Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection.
R Zazo, TN Sainath, G Simko, C Parada
Interspeech, 3668-3672, 2016
Age estimation in short speech utterances based on LSTM recurrent neural networks
R Zazo, PS Nidadavolu, N Chen, J Gonzalez-Rodriguez, N Dehak
IEEE Access 6, 22524-22530, 2018
An end-to-end approach to language identification in short utterances using convolutional neural networks
A Lozano Díez, R Zazo Candil, J González Domínguez, DT Toledano, ...
Proceedings of the Annual Conference of the International Speech …, 2015
An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition
A Lozano-Diez, R Zazo, DT Toledano, J Gonzalez-Rodriguez
PloS one 12 (8), e0182580, 2017
The 2013 speaker recognition evaluation in mobile environment
E Khoury, B Vesnicer, J Franco-Pedroso, R Violato, Z Boulkcnafet, ...
2013 International Conference on Biometrics (ICB), 1-8, 2013
Evaluation of an LSTM-RNN System in Different NIST Language Recognition Frameworks.
R Zazo, A Lozano-Diez, J Gonzalez-Rodriguez
Odyssey, 231-236, 2016
On the use of convolutional neural networks in pairwise language recognition
A Lozano-Diez, J Gonzalez-Dominguez, R Zazo, D Ramos, ...
Advances in Speech and Language Technologies for Iberian Languages: Second …, 2014
On the use of total variability and probabilistic linear discriminant analysis for speaker verification on short utterances
JG Domínguez, R Zazo, J González-Rodríguez
Advances in Speech and Language Technologies for Iberian Languages …, 2012
Exploiting temporal context in speech technologies using LSTM recurrent neural networks
R Zazo Candil
Exploiting temporal context in speech technologies using lstm recurrent neural networks
RZ Candil
Universidad Autónoma de Madrid, 2018
Ingeniería de Telecomunicación
RZ Candil
Análisis de compensación de variabilidad en reconocimiento de locutor aplicado a duraciones cortas
R Zazo Candil
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