| XNMT: The extensible neural machine translation toolkit G Neubig, M Sperber, X Wang, M Felix, A Matthews, S Padmanabhan, ... arXiv preprint arXiv:1803.00188, 2018 | 77 | 2018 |
| Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop O Scharenborg, L Besacier, A Black, M Hasegawa-Johnson, F Metze, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 41 | 2018 |
| Unsupervised text-to-speech synthesis by unsupervised automatic speech recognition J Ni, L Wang, H Gao, K Qian, Y Zhang, S Chang, M Hasegawa-Johnson arXiv preprint arXiv:2203.15796, 2022 | 37 | 2022 |
| Speech technology for unwritten languages O Scharenborg, L Besacier, A Black, M Hasegawa-Johnson, F Metze, ... IEEE/ACM transactions on audio, speech, and language processing 28, 964-975, 2020 | 26 | 2020 |
| Align or attend? toward more efficient and accurate spoken word discovery using speech-to-image retrieval L Wang, X Wang, M Hasegawa-Johnson, O Scharenborg, N Dehak ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 13 | 2021 |
| A DNN-HMM-DNN hybrid model for discovering word-like units from spoken captions and image regions L Wang, M Hasegawa-Johnson Interspeech, 2020 | 12 | 2020 |
| Listen, decipher and sign: Toward unsupervised speech-to-sign language recognition L Wang, J Ni, H Gao, J Li, KC Chang, X Fan, J Wu, M Hasegawa-Johnson, ... Findings of the Association for Computational Linguistics: ACL 2023, 6785-6800, 2023 | 7 | 2023 |
| Multimodal Word Discovery and Retrieval with Phone Sequence and Image Concepts. L Wang, MA Hasegawa-Johnson INTERSPEECH, 2683-2687, 2019 | 6 | 2019 |
| A theory of unsupervised speech recognition L Wang, M Hasegawa-Johnson, CD Yoo arXiv preprint arXiv:2306.07926, 2023 | 5 | 2023 |
| Self-supervised semantic-driven phoneme discovery for zero-resource speech recognition L Wang, S Feng, M Hasegawa-Johnson, C Yoo Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 4 | 2022 |
| Automatic prediction of amyotrophic lateral sclerosis progression using longitudinal speech transformer L Wang, Y Gong, N Dawalatabad, M Vilela, K Placek, B Tracey, Y Gong, ... arXiv preprint arXiv:2406.18625, 2024 | 2 | 2024 |
| Unsupervised speech recognition with n-skipgram and positional unigram matching L Wang, M Hasegawa-Johnson, CD Yoo ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
| Towards Unsupervised Speech Recognition Without Pronunciation Models J Ni, L Wang, Y Zhang, K Qian, H Gao, M Hasegawa-Johnson, CD Yoo arXiv preprint arXiv:2406.08380, 2024 | 1 | 2024 |
| Multimodal word discovery and retrieval with spoken descriptions and visual concepts L Wang, M Hasegawa-Johnson IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1560-1573, 2020 | 1 | 2020 |
| Multimodal spoken unit discovery with paired and unpaired modalities L Wang University of Illinois at Urbana-Champaign, 2023 | | 2023 |
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisCorreu electrònic verificat a illinois.edu
