Követés
Josué Fredes
Josué Fredes
Researcher, Speech Processing and Transmission, Universidad de Chile
E-mail megerősítve itt: u.uchile.cl - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
DNN-HMM based automatic speech recognition for HRI scenarios
J Novoa, J Wuth, JP Escudero, J Fredes, R Mahu, NB Yoma
Proceedings of the 2018 ACM/IEEE international conference on human-robot …, 2018
512018
Uncertainty weighting and propagation in DNN–HMM-based speech recognition
J Novoa, J Fredes, V Poblete, NB Yoma
Computer Speech & Language 47, 30-46, 2018
392018
Locally normalized filter banks applied to deep neural-network-based robust speech recognition
J Fredes, J Novoa, S King, RM Stern, NB Yoma
IEEE Signal Processing Letters 24 (4), 377-381, 2017
362017
Automatic speech recognition for indoor hri scenarios
J Novoa, R Mahu, J Wuth, JP Escudero, J Fredes, NB Yoma
ACM Transactions on Human-Robot Interaction (THRI) 10 (2), 1-30, 2021
222021
A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification
V Poblete, F Espic, S King, RM Stern, F Huenupan, J Fredes, NB Yoma
Computer Speech & Language 31 (1), 1-27, 2015
182015
Automatic on-line color calibration using class-relative color spaces
P Guerrero, J Ruiz-del-Solar, J Fredes, R Palma-Amestoy
RoboCup 2007: Robot Soccer World Cup XI 11, 246-253, 2008
182008
Robustness over time-varying channels in DNN-hmm ASR based human-robot interaction.
J Novoa, J Wuth, JP Escudero, J Fredes, R Mahu, RM Stern, NB Yoma
INTERSPEECH, 839-843, 2017
82017
Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification.
J Fredes, J Novoa, V Poblete, S King, RM Stern, NB Yoma
INTERSPEECH, 3011-3015, 2015
62015
Highly-reverberant real environment database: Hrre
JP Escudero, V Poblete, J Novoa, J Wuth, J Fredes, R Mahu, R Stern, ...
arXiv preprint arXiv:1801.09651, 2018
52018
Multichannel robot speech recognition database: MChRSR
J Novoa, JP Escudero, J Fredes, J Wuth, R Mahu, NB Yoma
arXiv preprint arXiv:1801.00061, 2017
52017
The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms.
V Poblete, JP Escudero, J Fredes, J Novoa, RM Stern, S King, NB Yoma
INTERSPEECH, 2373-2377, 2016
22016
Estudio comparativo de técnicas para robustez de sistemas de verificación de locutor texto independiente
JA Fredes Sandoval
Universidad de Chile, 2015
12015
Reconocimiento robusto de voz en sistemas DNN-HMM utilizando parametrización normalizada localmente
JA Fredes Sandoval
Universidad de Chile, 2023
2023
On combining features for single-channel robust speech recognition in reverberant environments
J Novoa, J Fredes, J Wuth, F Huenupán, RM Stern, NB Yoma
arXiv preprint arXiv:1906.07299, 2019
2019
DNN-based uncertainty estimation for weighted DNN-HMM ASR
J Novoa, J Fredes, NB Yoma
arXiv preprint arXiv:1705.10368, 2017
2017
A perceptually-motivated low-complexity instantaneous linearchannel normalization technique applied to speaker verification
V Poblete Ramírez, F Espic, S King, RM Stern, F Huenupán, ...
Elsevier, 2015
2015
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