Automatic intonation assessment for computer aided language learning JP Arias, NB Yoma, H Vivanco Speech communication 52 (3), 254-267, 2010 | 102 | 2010 |
Shape-based modeling of the fundamental frequency contour for emotion detection in speech JP Arias, C Busso, NB Yoma Computer Speech & Language 28 (1), 278-294, 2014 | 87 | 2014 |
Speaker verification in noise using a stochastic version of the weighted Viterbi algorithm NB Yoma, M Villar IEEE Transactions on Speech and Audio Processing 10 (3), 158-166, 2002 | 86 | 2002 |
New planetary systems from the Calan–Hertfordshire extrasolar planet search JS Jenkins, HRA Jones, M Tuomi, M Díaz, JP Cordero, A Aguayo, ... Monthly Notices of the Royal Astronomical Society 466 (1), 443-473, 2017 | 66 | 2017 |
Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features M Curilem, J Vergara, C San Martin, G Fuentealba, C Cardona, ... Journal of Volcanology and Geothermal Research 282, 134-147, 2014 | 61 | 2014 |
A new location system for an underground mining environment using visible light communications NB Daniel Iturralde* , Cesar Azurdia-Meza, Nicolas Krommenacker, Ismael Soto ... 2014 9th International Symposium on Communication Systems, Networks …, 2014 | 56 | 2014 |
Improving performance of spectral subtraction in speech recognition using a model for additive noise NB Yoma, FR McInnes, MA Jack IEEE Transactions on speech and audio processing 6 (6), 579-582, 1998 | 54 | 1998 |
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 | 51 | 2018 |
Confidence based multiple classifier fusion in speaker verification F Huenupán, NB Yoma, C Molina, C Garretón Pattern Recognition Letters 29 (7), 957-966, 2008 | 40 | 2008 |
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 | 39 | 2018 |
Energy and F0 contour modeling with functional data analysis for emotional speech detection. JP Arias, C Busso, NB Yoma Interspeech, 2871-2875, 2013 | 38 | 2013 |
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 | 36 | 2017 |
Robust speech pulse detection using adaptive noise modelling NB Yoma, F McInnes, M Jack Electronics letters 32 (15), 1350-1352, 1996 | 34 | 1996 |
Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models SM Bhatti, MS Khan, J Wuth, F Huenupan, M Curilem, L Franco, NB Yoma Journal of Volcanology and Geothermal Research 324, 134-143, 2016 | 32 | 2016 |
ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion C Molina, NB Yoma, J Wuth, H Vivanco Speech communication 51 (6), 485-498, 2009 | 29 | 2009 |
Weighted Viterbi algorithm and state duration modelling for speech recognition in noise NB Yoma, FR McInnes, MA Jack Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 29 | 1998 |
Genetic programming-based voice activity detection PA Estévez, N Becerra-Yoma, N Boric, JA Ramırez Electronics Letters, IET 41 (20), 1141 – 1143, 2005 | 25 | 2005 |
Improved signal detection algorithms for unevenly sampled data. Six signals in the radial velocity data for GJ876 JS Jenkins, N Becerra Yoma, P Rojo, R Mahu, J Wuth Monthly Notices of the Royal Astronomical Society 441 (3), 2253-2265, 2014 | 24 | 2014 |
Packet-loss modelling in IP networks with state-duration constraints NB Yoma, C Busso, I Soto IEE Proceedings-Communications 152 (1), 1-5, 2005 | 24 | 2005 |
Predicting bubble size and bubble rate data in water and in froth flotation-like slurry from computational fluid dynamics (CFD) by applying deep neural networks (DNN) G Montes-Atenas, F Seguel, A Valencia, SM Bhatti, MS Khan, I Soto, ... International Communications in Heat and Mass Transfer 76, 197-201, 2016 | 23 | 2016 |