| Ast: Audio spectrogram transformer Y Gong, YA Chung, J Glass arXiv preprint arXiv:2104.01778, 2021 | 1092 | 2021 |
| Speech database development at MIT: TIMIT and beyond V Zue, S Seneff, J Glass Speech communication 9 (4), 351-356, 1990 | 843 | 1990 |
| JUPlTER: a telephone-based conversational interface for weather information V Zue, S Seneff, JR Glass, J Polifroni, C Pao, TJ Hazen, L Hetherington IEEE Transactions on speech and audio processing 8 (1), 85-96, 2000 | 840 | 2000 |
| Conversational interfaces: Advances and challenges VW Zue, JR Glass Proceedings of the IEEE 88 (8), 1166-1180, 2000 | 729 | 2000 |
| Analysis methods in neural language processing: A survey Y Belinkov, J Glass Transactions of the Association for Computational Linguistics 7, 49-72, 2019 | 635 | 2019 |
| What do neural machine translation models learn about morphology? Y Belinkov, N Durrani, F Dalvi, H Sajjad, J Glass arXiv preprint arXiv:1704.03471, 2017 | 475 | 2017 |
| An unsupervised autoregressive model for speech representation learning YA Chung, WN Hsu, H Tang, J Glass arXiv preprint arXiv:1904.03240, 2019 | 469 | 2019 |
| Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams Y Zhang, JR Glass 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 398-403, 2009 | 456 | 2009 |
| Unsupervised learning of disentangled and interpretable representations from sequential data WN Hsu, Y Zhang, J Glass Advances in neural information processing systems 30, 2017 | 434 | 2017 |
| Unsupervised pattern discovery in speech AS Park, JR Glass IEEE Transactions on Audio, Speech, and Language Processing 16 (1), 186-197, 2007 | 432 | 2007 |
| A probabilistic framework for segment-based speech recognition JR Glass Computer Speech & Language 17 (2-3), 137-152, 2003 | 377 | 2003 |
| Highway long short-term memory rnns for distant speech recognition Y Zhang, G Chen, D Yu, K Yao, S Khudanpur, J Glass 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 372 | 2016 |
| Developments and directions in speech recognition and understanding, Part 1 [DSP Education] JM Baker, L Deng, J Glass, S Khudanpur, CH Lee, N Morgan, ... IEEE Signal processing magazine 26 (3), 75-80, 2009 | 367 | 2009 |
| Detecting Depression with Audio/Text Sequence Modeling of Interviews. T Al Hanai, MM Ghassemi, JR Glass Interspeech, 1716-1720, 2018 | 341 | 2018 |
| Robust speaker recognition in noisy conditions J Ming, TJ Hazen, JR Glass, DA Reynolds IEEE Transactions on Audio, Speech, and Language Processing 15 (5), 1711-1723, 2007 | 341 | 2007 |
| Modelling out-of-vocabulary words for robust speech recognition I Bazzi Massachusetts Institute of Technology, 2002 | 332 | 2002 |
| Ssast: Self-supervised audio spectrogram transformer Y Gong, CI Lai, YA Chung, J Glass Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10699 …, 2022 | 313 | 2022 |
| Predicting factuality of reporting and bias of news media sources R Baly, G Karadzhov, D Alexandrov, J Glass, P Nakov arXiv preprint arXiv:1810.01765, 2018 | 304 | 2018 |
| Speech feature denoising and dereverberation via deep autoencoders for noisy reverberant speech recognition X Feng, Y Zhang, J Glass 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 302 | 2014 |
| Unsupervised learning of spoken language with visual context D Harwath, A Torralba, J Glass Advances in Neural Information Processing Systems, 1858-1866, 2016 | 300 | 2016 |
David HarwathThe University of Texas at AustinVerified email at utexas.edu
