| 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 | 53 | 2018 |
| 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 | 40 | 2018 |
| 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 | 35 | 2017 |
| 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 | 22 | 2021 |
| Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios A Díaz, R Mahu, J Novoa, J Wuth, J Datta, NB Yoma Computer Speech & Language, 101136, 2020 | 16 | 2020 |
| Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction J Novoa, R Mahu, A Díaz, J Wuth, R Stern, NB Yoma arXiv preprint arXiv:1906.07298, 2019 | 12 | 2019 |
| Robustness over time-varying channels in DNN-HMM ASR based human-robot interaction J Novoa, J Wuth, JP Escudero, J Fredes, R Mahu, R Stern, NB Yoma Proc. Interspeech 2017, 839-843, 2017 | 8 | 2017 |
| 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 | 6 | 2018 |
| Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification J Fredes, J Novoa, V Poblete, S King, RM Stern, NB Yoma Sixteenth Annual Conference of the International Speech Communication …, 2015 | 6 | 2015 |
| Multichannel Robot Speech Recognition Database: MChRSR J Novoa, JP Escudero, J Fredes, J Wuth, R Mahu, NB Yoma arXiv preprint arXiv:1801.00061, 2017 | 5 | 2017 |
| An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition JP Escudero, J Novoa, R Mahu, J Wuth, F Huenupán, R Stern, NB Yoma arXiv preprint arXiv:1803.09016, 2018 | 4 | 2018 |
| 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 | 2 | 2016 |
| 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 |
| Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments J Novoa, JP Escudero, J Wuth, V Poblete, S King, R Stern, NB Yoma arXiv preprint arXiv:1803.09013, 2018 | | 2018 |
| Robust speech recognition in noisy and reverberant environments using deep neural network-based systems JE Novoa Ilic Universidad de Chile, 2018 | | 2018 |
| DNN-based uncertainty estimation for weighted DNN-HMM ASR J Novoa, J Fredes, NB Yoma arXiv preprint arXiv:1705.10368, 2017 | | 2017 |
Néstor Becerra YomaUniversidad de ChileEmail được xác minh tại ing.uchile.cl
