| State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. J Villalba, N Chen, D Snyder, D Garcia-Romero, A McCree, G Sell, ... Interspeech, 1488-1492, 2019 | 149* | 2019 |
| Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model S Shon, H Tang, J Glass 2018 IEEE Workshop on Spoken Language Technology (IEEE SLT 2018), 98-104, 2018 | 104 | 2018 |
| VoiceID Loss: Speech Enhancement for Speaker Verification S Shon, H Tang, J Glass Proc. Interspeech 2019, 2888-2892, 2019 | 103 | 2019 |
| Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition S Shon, A Ali, J Glass Proc. Odyssey 2018 The Speaker and Language Recognition Workshop, 98-104, 2018 | 98 | 2018 |
| Slue: New benchmark tasks for spoken language understanding evaluation on natural speech S Shon, A Pasad, F Wu, P Brusco, Y Artzi, K Livescu, KJ Han ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 79 | 2022 |
| Deep Neural Network based Learning and Transferring Mid-level Audio Features for Acoustic Scene Classification S Mun, S Shon, W Kim, DK Han, H Ko 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 73 | 2017 |
| The MGB-5 Challenge: Recognition and Dialect Identification of Dialectal Arabic Speech A Ali, S Shon, Y Samih, H Mubarak, A Abdelali, J Glass, S Renals, ... IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 1026 …, 2019 | 71 | 2019 |
| Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion S Shon, TH Oh, J Glass 2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019 | 65 | 2019 |
| ADI17: A Fine-Grained Arabic Dialect Identification Dataset S Shon, A Ali, Y Samih, H Mubarak, J Glass 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 54 | 2020 |
| Exploiting convolutional neural networks for phonotactic based dialect identification M Najafian, S Khurana, S Shon, A Ali, J Glass 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 51 | 2018 |
| Learning pronunciation from a foreign language in speech synthesis networks Y Lee, S Shon, T Kim arXiv preprint arXiv:1811.09364, 2018 | 41 | 2018 |
| Autoencoder based Domain Adaptation for Speaker Recognition under Insufficient Channel Information S Shon, S Mun, W Kim, H Ko Interspeech 2017, 1014-1018, 2017 | 41 | 2017 |
| SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks S Shon, S Arora, CJ Lin, A Pasad, F Wu, R Sharma, WL Wu, HY Lee, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 35 | 2023 |
| MIT-QCRI Arabic dialect identification system for the 2017 multi-genre broadcast challenge S Shon, A Ali, J Glass IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 374-380, 2017 | 32 | 2017 |
| Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification AK Sarkar, ZH Tan, H Tang, S Shon, J Glass IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (8), 1267 …, 2019 | 30 | 2019 |
| Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion S Mun, S Shon 2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019 | 25 | 2019 |
| Deep Neural Network Bottleneck Features for Acoustic Event Recognition. S Mun, S Shon, W Kim, H Ko Interspeech, 2954-2957, 2016 | 23 | 2016 |
| On the use of external data for spoken named entity recognition A Pasad, F Wu, S Shon, K Livescu, KJ Han Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 22 | 2022 |
| What does an End-to-End Dialect Identification Model Learn about Non-dialectal Information? SA Chowdhury, A Ali, S Shon, J Glass Interspeech, 2020 | 22 | 2020 |
| Leveraging pre-trained language model for speech sentiment analysis S Shon, P Brusco, J Pan, KJ Han, S Watanabe Interspeech, 2021 | 19 | 2021 |
James GlassMIT Computer Science and Artificial Intelligence LaboratoryPreverjeni e-poštni naslov na mit.edu