Mark Allan Hasegawa-Johnson

Sari, L., Hasegawa-Johnson, M., & Thomas, S. (2021). Auxiliary Networks for Joint Speaker Adaptation and Speaker Change Detection. IEEE/ACM Transactions on Audio Speech and Language Processing, 29, 324-333. [9271936]. https://doi.org/10.1109/TASLP.2020.3040626

Scharenborg, O., & Hasegawa-Johnson, M. (2021). Position Paper: Brain Signal-Based Dialogue Systems. In Lecture Notes in Electrical Engineering (pp. 389-392). (Lecture Notes in Electrical Engineering; Vol. 714). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-9323-9_36

Abavisani, A., & Hasegawa-Johnson, M. (2020). Automatic estimation of intelligibility measure for consonants in speech. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020-October, 1161-1165. https://doi.org/10.21437/Interspeech.2020-2121

Hasegawa-Johnson, M., Rolston, L., Goudeseune, C., Levow, G. A., & Kirchhoff, K. (2020). Grapheme-to-phoneme transduction for cross-language ASR. In L. Espinosa-Anke, I. Spasic, & C. Martín-Vide (Eds.), Statistical Language and Speech Processing - 8th International Conference, SLSP 2020, Proceedings (pp. 3-19). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12379 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59430-5_1

Li, J., & Hasegawa-Johnson, M. (2020). Autosegmental neural nets: Should phones and tones be synchronous or asynchronous? Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020-October, 1027-1031. https://doi.org/10.21437/Interspeech.2020-1834

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