Juan Pablo Escudero

According to our database, Juan Pablo Escudero authored at least 7 papers between 2016 and 2018.

Collaborative distances:

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

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

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