José Novoa

According to our database, José Novoa authored at least 14 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

Alejandro Díaz, Rodrigo Mahú, José Novoa, Jorge Wuth, Jayanta Datta, Néstor Becerra Yoma

Comput. Speech Lang., 2021

2019

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

José Novoa, Josué Fredes, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma

CoRR, 2019

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

José Novoa, Rodrigo Mahú, Alejandro Díaz, Jorge Wuth, Richard M. Stern, Néstor Becerra Yoma

CoRR, 2019

2018

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

José Novoa, Josué Fredes, Víctor Poblete, Néstor Becerra Yoma

Comput. Speech Lang., 2018

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

Juan Pablo Escudero, José Novoa, Rodrigo Mahú, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma

CoRR, 2018

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

José Novoa, Juan Pablo Escudero, Jorge Wuth, Víctor Poblete, Simon King, Richard M. Stern, Néstor Becerra Yoma

CoRR, 2018

Highly-Reverberant Real Environment database: HRRE.

Juan Pablo Escudero, Víctor Poblete, José Novoa, Jorge Wuth, Josué Fredes, Rodrigo Mahú, Richard M. Stern, Néstor Becerra Yoma

CoRR, 2018

Multichannel Robot Speech Recognition Database: MChRSR.

José Novoa, Juan Pablo Escudero, Josué Fredes, Jorge Wuth, Rodrigo Mahú, Néstor Becerra Yoma

CoRR, 2018

DNN-HMM based Automatic Speech Recognition for HRI Scenarios.

José Novoa, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Rodrigo Mahú, Néstor Becerra Yoma

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

2017

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

Josué Fredes, José Novoa, Simon King, Richard M. Stern, Néstor Becerra Yoma

IEEE Signal Process. Lett., 2017

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

José Novoa, Josué Fredes, Néstor Becerra Yoma

CoRR, 2017

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

José Novoa, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Rodrigo Mahú, Richard M. Stern, Néstor Becerra Yoma

Proceedings of the Interspeech 2017, 2017

2016

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

Víctor Poblete, Juan Pablo Escudero, Josué Fredes, José Novoa, Richard M. Stern, Simon King, Néstor Becerra Yoma

Proceedings of the Interspeech 2016, 2016

2015

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

Josué Fredes, José Novoa, Víctor Poblete, Simon King, Richard M. Stern, Néstor Becerra Yoma

Proceedings of the INTERSPEECH 2015, 2015