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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.

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Latest Publications

[1]
Bokkahalli Satish, S. H., Henter, G. E., Székely, É. (2026). When Voice Matters : Evidence of Gender Disparity in Positional Bias of SpeechLLMs. I Speech and Computer - 27th International Conference, SPECOM 2025, Proceedings. (s. 25-38). Springer Nature.
[2]
Amerotti, M., Benford, S., Sturm, B. L.T., Vear, C. (2026). A Live Performance Rule System Informed by Irish Traditional Dance Music. I Music and Sound Generation in the AI Era - 16th International Symposium, CMMR 2023, Revised Selected Papers. (s. 127-139). Springer Nature.
[3]
Vaddadi, B., Axelsson, A., Skantze, G. (2026). The Role of Social Robots in Autonomous Public Transport. I Transport Transitions: Advancing Sustainable and Inclusive Mobility: Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland - Volume 1: Safe and Equitable Transport. (s. 711-716). Springer Nature.
[4]
Qian, L., Figueroa, C., Skantze, G. (2025). Representation of perceived prosodic similarity of conversational feedback. I Interspeech 2025. (s. 374-378). International Speech Communication Association.
[5]
Bokkahalli Satish, S. H., Henter, G. E., Székely, É. (2025). Hear Me Out : Interactive evaluation and bias discovery platform for speech-to-speech conversational AI. I Interspeech 2025. (s. 2151-2152). International Speech Communication Association.
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