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Speech, Music and Hearing (TMH)

Research at the Division of Speech, Music and Hearing (TMH) is truly multi-disciplinary including linguistics, phonetics, auditory perception, vision and experimental psychology. Rooted in an engineering modelling approach, our research forms a solid base for developing multimodal human-computer interaction systems in which speech, music, sound and gestures combine to create human-like communication.

Research Area

Latest Publications

[1]
Ternström, S. (2024). Pragmatic De-Noising of Electroglottographic Signals. Bioengineering, 11(5).
[2]
Cai, H., Ternström, S., Chaffanjon, P. & Henrich Bernardoni, N. (2024). Effects on Voice Quality of Thyroidectomy : A Qualitative and Quantitative Study Using Voice Maps. Journal of Voice.
[3]
Traum, D., Skantze, G., Nishizaki, H., Higashinaka, R., Minato, T. & Nagai, T. (2024). Special issue on multimodal processing and robotics for dialogue systems (Part II). Advanced Robotics, 38(4), 193-194.
[4]
Borg, A., Parodis, I., Skantze, G. (2024). Creating Virtual Patients using Robots and Large Language Models: A Preliminary Study with Medical Students. I HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (s. 273-277). Association for Computing Machinery (ACM).
[5]
Ashkenazi, S., Skantze, G., Stuart-Smith, J., Foster, M. E. (2024). Goes to the Heart: Speaking the User's Native Language. I HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (s. 214-218). Association for Computing Machinery (ACM).
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