Keywords:
Publications of Pranay Dighe sorted by title
A
| ANALYZING UNCERTAINTIES IN SPEECH RECOGNITION USING DROPOUT, , , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
D
| Detecting and Labeling Speakers on Overlapping Speech using Vector Taylor Series, , and , in: INTERSPEECH, 2014 |
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| Dictionary Learning for Sparse Representation of Neural Network Exemplars in Speech Recognition, , and , in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015, pages 1093, 2015 |
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E
| Exploiting Eigenposteriors for Semi-supervised Training of DNN Acoustic Models with Sequence Discrimination, , and , in: Proceedings of Interspeech, 2017 |
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| Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition, , , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5690-5694, IEEE, 2016 |
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F
| Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data, , and , in: IEEE Workshop on Spoken Language Technology, Athens, GREECE, pages 581-587, IEEE, 2018 |
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L
| Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models, , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017 |
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| Low-Rank Representation of Nearest Neighbor Phone Posterior Probabilities to Enhance DNN Acoustic Modeling, , , and , Idiap-RR-04-2016 |
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| Low-Rank Representation of Nearest Neighbor Phone Posterior Probabilities to Enhance DNN Acoustic Modeling, , , and , in: Interspeech, 2016 |
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M
| Modeling Overlapping Speech using Vector Taylor Series, , and , in: Odyssey: The Speaker and Language Recognition Workshop, Joensuu, Finland, 2014 |
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O
| On quantifying the quality of acoustic models in hybrid DNN-HMM ASR, , and , in: Speech Communication, 119:24-35, 2020 |
[DOI] |
S
| Sparse and Low-rank Modeling for Automatic Speech Recognition, , EPFL, 2019 |
[DOI] |
| Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features, , and , Idiap-RR-19-2016 |
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| Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition, , and , in: Speech Communication: Special Issue on Advances in Sparse Modeling and Low-rank Modeling for Speech Processing, 76:230–244, 2016 |
[DOI] |
| Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-Based Speech Recognition, , and , in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015 |
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| Sparse Modeling of Posterior Exemplars for Keyword Detection, , , and , in: Proceedings of Interspeech, pages 3690-3694, 2015 |
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