Contact Information
2011 Beckman Institute, MC-251
405 N. Mathews Ave.
Urbana, Illinois 61801
USA
Additional Campus Affiliations
Professor, Electrical and Computer Engineering
Professor, Speech and Hearing Science
Professor, Coordinated Science Lab
Professor, Beckman Institute for Advanced Science and Technology
Professor, Computer Science
External Links
Recent Publications
Udupa, S., Bandekar, J., Singh, A., Deekshitha, G., Kumar, S., Badiger, S., Nagireddi, A., Roopa, R., Ghosh, P. K., Murthy, H. A., Kumar, P., Tokuda, K., Hasegawa-Johnson, M., & Olbrich, P. (Accepted/In press). LIMMITS'24: MULTI-SPEAKER, MULTI-LINGUAL INDIC TTS with VOICE CLONING. IEEE Open Journal of Signal Processing. https://doi.org/10.1109/OJSP.2025.3531782
Eom, S. H., Yoon, E., Yoon, H. S., Kim, C., Hasegawa-Johnson, M., & Yoo, C. D. (2024). ADAMER-CTC: CONNECTIONIST TEMPORAL CLASSIFICATION WITH ADAPTIVE MAXIMUM ENTROPY REGULARIZATION FOR AUTOMATIC SPEECH RECOGNITION. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings (pp. 12707-12711). (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10446721
Eom, S. H., Shim, J., Koo, G., Na, H., Hasegawa-Johnson, M. A., Kim, S., & Yoo, C. D. (2024). Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024 (pp. 14158-14167). (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024). Association for Computational Linguistics (ACL).
Gao, H., Hasegawa-Johnson, M., & Yoo, C. D. (2024). G2PU: GRAPHEME-TO-PHONEME TRANSDUCER WITH SPEECH UNITS. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings (pp. 10061-10065). (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10448105
Gao, H., Qian, K., Ni, J., Gan, C., Hasegawa-Johnson, M., Chang, S., & Zhang, Y. (2024). Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. Proceedings of Machine Learning Research, 235, 14790-14810.