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Mark Allan Hasegawa-Johnson

Profile picture for Mark Allan Hasegawa-Johnson

Contact Information

University of Illinois
2011 Beckman Institute, MC-251
405 N. Mathews Ave.
Urbana, Illinois 61801
USA
Professor of Electrical and Computer Engineering

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

Recent Publications

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

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

Harvill, J., Chatterjee, M., Khosla, S., Alam, M., Ahuja, N., Hasegawa-Johnson, M., Chestek, D., & Beiser, D. G. (Accepted/In press). Multimodal Respiratory Rate Estimation from Audio and Video in Emergency Department Patients. IEEE Journal of Translational Engineering in Health and Medicine, 1. https://doi.org/10.1109/JTEHM.2024.3418345

Islam, B., McElwain, N. L., Li, J., Davila, M. I., Hu, Y., Hu, K., Bodway, J. M., Dhekne, A., Roy Choudhury, R., & Hasegawa-Johnson, M. (2024). Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations. Sensors, 24(3), Article 901. https://doi.org/10.3390/s24030901

Jahan, M., Wang, H., Thebaud, T., Sun, Y., Le, G., Fagyal, Z., Scharenborg, O., Hasegawa-Johnson, M., Moro-Velazquez, L., & Dehak, N. (2024). Finding Spoken Identifications: Using GPT-4 Annotation For An Efficient And Fast Dataset Creation Pipeline. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp. 7296-7306). (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings). European Language Resources Association (ELRA).

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