| Librispeech: an asr corpus based on public domain audio books V Panayotov, G Chen, D Povey, S Khudanpur 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 9219 | 2015 |
| The Kaldi speech recognition toolkit D Povey, A Ghoshal, G Boulianne, L Burget, O Glembek, N Goel, ... IEEE 2011 workshop on automatic speech recognition and understanding 1, 5.1, 2011 | 8087 | 2011 |
| The HTK book S Young, G Evermann, M Gales, T Hain, D Kershaw, X Liu, G Moore, ... Cambridge university engineering department 3 (175), 12, 2002 | 4589 | 2002 |
| X-vectors: Robust dnn embeddings for speaker recognition D Snyder, D Garcia-Romero, G Sell, D Povey, S Khudanpur 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 3864 | 2018 |
| The HTK book version 3.4. 1 S Young http://htk. eng. cam. ac. uk, 2009 | 3064 | 2009 |
| Musan: A music, speech, and noise corpus D Snyder, G Chen, D Povey arXiv preprint arXiv:1510.08484, 2015 | 1891 | 2015 |
| Audio augmentation for speech recognition. T Ko, V Peddinti, D Povey, S Khudanpur Interspeech 2015, 3586, 2015 | 1625 | 2015 |
| A time delay neural network architecture for efficient modeling of long temporal contexts. V Peddinti, D Povey, S Khudanpur Interspeech 2015, 3214-3218, 2015 | 1464 | 2015 |
| A study on data augmentation of reverberant speech for robust speech recognition T Ko, V Peddinti, D Povey, ML Seltzer, S Khudanpur 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 1380 | 2017 |
| Deep neural network embeddings for text-independent speaker verification. D Snyder, D Garcia-Romero, D Povey, S Khudanpur Interspeech 2017, 999-1003, 2017 | 1187 | 2017 |
| Purely sequence-trained neural networks for ASR based on lattice-free MMI. D Povey, V Peddinti, D Galvez, P Ghahremani, V Manohar, X Na, Y Wang, ... Interspeech, 2751-2755, 2016 | 1053 | 2016 |
| Sequence-discriminative training of deep neural networks K Veselý, A Ghoshal, L Burget, D Povey 14th Annual Conference of the International Speech Communication Association, 2013 | 967 | 2013 |
| Minimum phone error and I-smoothing for improved discriminative training D Povey, PC Woodland 2002 IEEE international conference on acoustics, speech, and signal …, 2002 | 923 | 2002 |
| Strategies for training large scale neural network language models T Mikolov, A Deoras, D Povey, L Burget, J Černocký 2011 IEEE workshop on automatic speech recognition & understanding, 196-201, 2011 | 781 | 2011 |
| Discriminative training for large vocabulary speech recognition D Povey Ph. D. thesis, Cambridge University Engineering Dept., 2003 | 708 | 2003 |
| Semi-orthogonal low-rank matrix factorization for deep neural networks. D Povey, G Cheng, Y Wang, K Li, H Xu, M Yarmohammadi, S Khudanpur Interspeech, 3743-3747, 2018 | 694 | 2018 |
| Large scale discriminative training of hidden Markov models for speech recognition PC Woodland, D Povey Computer Speech & Language 16 (1), 25-47, 2002 | 575 | 2002 |
| Boosted MMI for model and feature-space discriminative training D Povey, D Kanevsky, B Kingsbury, B Ramabhadran, G Saon, ... 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 488 | 2008 |
| Deep neural network-based speaker embeddings for end-to-end speaker verification D Snyder, P Ghahremani, D Povey, D Garcia-Romero, Y Carmiel, ... 2016 IEEE spoken language technology workshop (SLT), 165-170, 2016 | 486 | 2016 |
| CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings S Watanabe, M Mandel, J Barker, E Vincent, A Arora, X Chang, ... arXiv preprint arXiv:2004.09249, 2020 | 442 | 2020 |
Sanjeev KhudanpurThe Johns Hopkins UniversityVerified email at jhu.edu
