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Víctor Poblete
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2020 – today
- 2023
- [j6]Thomas Sühn, Nazila Esmaeili, Sandeep Y. Mattepu, Moritz Spiller, Axel Boese, Robin Urrutia, Víctor Poblete, Christian Hansen, Christoph H. Lohmann, Alfredo Illanes, Michael Friebe:
Vibro-Acoustic Sensing of Instrument Interactions as a Potential Source of Texture-Related Information in Robotic Palpation. Sensors 23(6): 3141 (2023) - [j5]Robin Urrutia, Diego Espejo, Natalia Evens, Montserrat Guerra, Thomas Sühn, Axel Boese, Christian Hansen, Patricio Fuentealba, Alfredo Illanes, Víctor Poblete:
Clustering Methods for Vibro-Acoustic Sensing Features as a Potential Approach to Tissue Characterisation in Robot-Assisted Interventions. Sensors 23(23): 9297 (2023) - 2022
- [j4]Gabriel Morales, Víctor Vargas, Diego Espejo, Víctor Poblete, Jorge A. Tomasevic, Felipe Otondo, Juan G. Navedo:
Method for passive acoustic monitoring of bird communities using UMAP and a deep neural network. Ecol. Informatics 72: 101909 (2022)
2010 – 2019
- 2018
- [j3]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) - [i2]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) - [i1]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) - 2016
- [c3]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
- [j2]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) - [c2]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
- [j1]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) - 2013
- [c1]Víctor Poblete, Néstor Becerra Yoma, Richard M. Stern:
Optimization of sigmoidal rate-level function based on acoustic features. INTERSPEECH 2013: 896-900
Coauthor Index
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