| Layer-wise Analysis of a Self-supervised Speech Representation Model A Pasad, JC Chou, K Livescu IEEE Automatic Speech Recognition and Understanding Workshop 2021, 2021 | 221 | 2021 |
| Comparative layer-wise analysis of self-supervised speech models A Pasad, B Shi, K Livescu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 68 | 2023 |
| 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 | 56 | 2022 |
| Taskology: Utilizing task relations at scale Y Lu, S Pirk, J Dlabal, A Brohan, A Pasad, Z Chen, V Casser, A Angelova, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| 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, ... ACL, 2023 | 24 | 2023 |
| Automatic assessment of reading with speech recognition technology P Rao, P Swarup, A Pasad, H Tulsiani, GG Das Copyright 2016 Asia-Pacific Society for Computers in Education All rights …, 2016 | 19 | 2016 |
| Hidden state variability of pretrained language models can guide computation reduction for transfer learning S Xie, J Qiu, A Pasad, L Du, Q Qu, H Mei Findings of EMNLP, 2022 | 16 | 2022 |
| On the use of external data for spoken named entity recognition A Pasad, F Wu, S Shon, K Livescu, KJ Han NAACL, 2022 | 16 | 2022 |
| On the contributions of visual and textual supervision in low-resource semantic speech retrieval A Pasad, B Shi, H Kamper, K Livescu Interspeech, 2019, 2019 | 12 | 2019 |
| What do self-supervised speech models know about words? A Pasad, CM Chien, S Settle, K Livescu arXiv preprint arXiv:2307.00162, 2023 | 11 | 2023 |
| Voice activity detection for children's read speech recognition in noisy conditions A Pasad, K Sabu, P Rao 2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017 | 5 | 2017 |
| Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos A Pasad, A Gordon, TY Lin, A Angelova Learning from Unlabeled Videos, CVPR Workshop, 2020, 2020 | 2 | 2020 |
| On the Evaluation of Speech Foundation Models for Spoken Language Understanding S Arora, A Pasad, CM Chien, J Han, R Sharma, J Jung, H Dhamyal, ... arXiv preprint arXiv:2406.10083, 2024 | 1 | 2024 |
| Layer-wise analysis of a self-supervised speech representation A Pasad, JC Chou, K Livescu Workshop on Machine Learning in Speech and Language Processing 2021, 2021 | 1* | 2021 |
| Self-Supervised Speech Representations are More Phonetic than Semantic K Choi, A Pasad, T Nakamura, S Fukayama, K Livescu, S Watanabe arXiv preprint arXiv:2406.08619, 2024 | | 2024 |
| Taskology: Utilizing Task Relations at Scale (Supplemental Material) Y Lu, S Pirk, J Dlabal, A Brohan, A Pasad, Z Chen, V Casser, A Angelova, ... | | |
Karen LivescuTTI-Chicago在 ttic.edu 的电子邮件经过验证
