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ORCIDJuan Pablo Escudero
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2020 – today
- 2021
[j1]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)
2010 – 2019
- 2018
- [c3]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 - [i4]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) - [i3]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) - [i2]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) - [i1]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
- [c2]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 - 2016
- [c1]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
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