| The subspace Gaussian mixture model—A structured model for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, F Kai, A Ghoshal, O Glembek, ... Computer Speech & Language 25 (2), 404-439, 2011 | 372 | 2011 |
| Subspace Gaussian mixture models for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, K Feng, A Ghoshal, O Glembek, ... 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 242 | 2010 |
| Multilingual acoustic modeling for speech recognition based on subspace Gaussian mixture models L Burget, P Schwarz, M Agarwal, P Akyazi, K Feng, A Ghoshal, ... 2010 IEEE international conference on acoustics, speech and signal …, 2010 | 206 | 2010 |
| Language model speech endpointing B Hoffmeister, A Rastrow, B Liu US Patent 10,121,471, 2018 | 119 | 2018 |
| Combination of strongly and weakly constrained recognizers for reliable detection of OOVs L Burget, P Schwarz, P Matejka, M Hannemann, A Rastrow, C White, ... 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 80 | 2008 |
| A new method for OOV detection using hybrid word/fragment system A Rastrow, A Sethy, B Ramabhadran 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 75 | 2009 |
| Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding A Kumar, A Gupta, J Chan, S Tucker, B Hoffmeister, M Dreyer, ... arXiv preprint arXiv:1711.00549, 2017 | 74 | 2017 |
| LATTICE RNN: Recurrent Neural Networks over Lattices F Ladhak, A Gandhe, M Dreyer, L Mathias, A Rastrow, B Hoffmeister | 65 | 2016 |
| Customized speech processing language models SN Joseph, S Pareek, A Rastrow, G Tiwari, AD Rosen US Patent 9,934,777, 2018 | 52 | 2018 |
| Error tolerant neural network model compression B Liu, MR Bastian, B Hoffmeister, S Panchapagesan, A Rastrow US Patent 10,229,356, 2019 | 50 | 2019 |
| Towards using hybrid word and fragment units for vocabulary independent LVCSR systems A Rastrow, A Sethy, B Ramabhadran, F Jelinek Tenth Annual Conference of the International Speech Communication Association, 2009 | 49 | 2009 |
| Lattice encoding using recurrent neural networks F Ladhak, A Gandhe, M Dreyer, A Rastrow, B Hoffmeister, L Mathias US Patent 10,176,802, 2019 | 48 | 2019 |
| Device-directed utterance detection SH Mallidi, R Maas, K Goehner, A Rastrow, S Matsoukas, B Hoffmeister arXiv preprint arXiv:1808.02504, 2018 | 44 | 2018 |
| Predicting pronunciation in speech recognition JP Adams, AU Parlikar, JP Lilly, A Rastrow US Patent 10,339,920, 2019 | 40 | 2019 |
| A novel estimation of feature-space MLLR for full-covariance models A Ghoshal, D Povey, M Agarwal, P Akyazi, L Burget, K Feng, O Glembek, ... 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 38 | 2010 |
| Approaches to automatic lexicon learning with limited training examples N Goel, S Thomas, M Agarwal, P Akyazi, L Burget, K Feng, A Ghoshal, ... 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 36 | 2010 |
| Speech to semantics: Improve asr and nlu jointly via all-neural interfaces M Rao, A Raju, P Dheram, B Bui, A Rastrow arXiv preprint arXiv:2008.06173, 2020 | 34 | 2020 |
| Learning sub-word units for open vocabulary speech recognition C Parada, M Dredze, A Sethy, A Rastrow Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 32 | 2011 |
| Intent-specific automatic speech recognition result generation HE Secker-Walker, ALM Challenner, A Rastrow US Patent 10,811,013, 2020 | 30 | 2020 |
| Contextual language model adaptation for conversational agents A Raju, B Hedayatnia, L Liu, A Gandhe, C Khatri, A Metallinou, ... arXiv preprint arXiv:1806.10215, 2018 | 29 | 2018 |
Björn HoffmeisterAmazonamazon.com의 이메일 확인됨
