logo Idiap Research Institute        
All publications sorted by author
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 |


D

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017
attachment
Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Speech Communication: Special Issue on Advances in Sparse Modeling and Low-rank Modeling for Speech Processing, 76:230–244, 2016
attachment
[DOI]
Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-Based Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015
attachment
Dictionary Learning for Sparse Representation of Neural Network Exemplars in Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015, pages 1093, 2015
attachment
Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data, Pranay Dighe, Hervé Bourlard and Afsaneh Asaei, in: IEEE Workshop on Spoken Language Technology, Athens, GREECE, pages 581-587, IEEE, 2018
attachment
Modeling Overlapping Speech using Vector Taylor Series, Pranay Dighe, Marc Ferras and Hervé Bourlard, in: Odyssey: The Speaker and Language Recognition Workshop, Joensuu, Finland, 2014
attachment
Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition, Pranay Dighe, Gil Luyet, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5690-5694, IEEE, 2016
attachment
Ensembles for Sequence Learning, Christos Dimitrakakis, École Polytechnique Fédérale de Lausanne, 2006
attachment
Nearly optimal exploration-exploitation decision thresholds, Christos Dimitrakakis, in: Int. Conf. on Artificial Neural Networks (ICANN), 2006
attachment
Gradient estimates of return distributions, Christos Dimitrakakis and Samy Bengio, in: PASCAL Workshop on Principled Methods of Trading Exploration and Exploitation, 2005
attachment
Boosting word error rates, Christos Dimitrakakis and Samy Bengio, in: IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2005
Boosting HMMs with an application to speech recognition, Christos Dimitrakakis and Samy Bengio, in: IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004
attachment
Online Policy Adaptation for Ensemble Classifiers, Christos Dimitrakakis and Samy Bengio, in: 12th European Symposium on Artificial Neural Networks, ESANN 04, 2004
The segmentation of multi-channel meeting recordings for automatic speech recognition, John Dines, Jithendra Vepa and Thomas Hain, in: Int. Conf. on Spoken Language Processing (Interspeech ICSLP), 2006
attachment
Measuring the gap between HMM-based ASR and TTS, John Dines, Junichi Yamagishi and Simon King, in: IEEE Journal of Selected Topics in Signal Processing, in print, 2010
attachment
Measuring the gap between HMM-based ASR and TTS, John Dines, Junichi Yamagishi and Simon King, in: Proceedings of Interspeech, Brighton, U.K., 2009
attachment
Regularized Bundle Methods for Convex and Non-Convex Risks, Trinh-Minh-Tri Do and Thierry Artieres, in: Journal of Machine Learning Research, 13:3539-3583, 2012
attachment
Neural conditional random fields, Trinh-Minh-Tri Do and Thierry Artieres, in: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Chia Laguna, Sardinia, Italy, JMLR: W&CP, 2010
attachment
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 |