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TMH Publications (latest 50)

Below are the 50 latest publications from the Department of Speech, Music and Hearing.

TMH Publications

[1]
Best, P., Araya-Salas, M., Ekström, A. G., Freitas, B., Jensen, F. H., Kershenbaum, A. ... Marxer, R. (2025). Bioacoustic fundamental frequency estimation : a cross-species dataset and deep learning baseline. Bioacoustics, 34(4), 419-446.
[2]
Cros Vila, L., Sturm, B., Casini, L. & Dalmazzo, D. (2025). The AI Music Arms Race : On the Detection of AI-Generated Music. Transactions of the International Society for Music Information Retrieval, 8(1), 179-194.
[3]
Torubarova, E. (2025). Brain-Focused Multimodal Approach for Studying Conversational Engagement in HRI. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 1894-1896). Institute of Electrical and Electronics Engineers (IEEE).
[4]
Torubarova, E., Arvidsson, C., Berrebi, J., Uddén, J., Abelho Pereira, A. T. (2025). NeuroEngage: A Multimodal Dataset Integrating fMRI for Analyzing Conversational Engagement in Human-Human and Human-Robot Interactions. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 849-858). Institute of Electrical and Electronics Engineers (IEEE).
[5]
Tuttösí, P., Mehta, S., Syvenky, Z., Burkanova, B., Hfsafsti, M., Wang, Y., Yeung, H. H., Henter, G. E., Aucouturier, J. J., Lim, A. (2025). Take a Look, it's in a Book, a Reading Robot. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 1803-1805). Institute of Electrical and Electronics Engineers (IEEE).
[6]
Irfan, B., Churamani, N., Zhao, M., Ayub, A., Rossi, S. (2025). Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI) : Overcoming Inequalities with Adaptation. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 1970-1972). Institute of Electrical and Electronics Engineers (IEEE).
[7]
Skantze, G., Irfan, B. (2025). Applying General Turn-Taking Models to Conversational Human-Robot Interaction. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 859-868). Institute of Electrical and Electronics Engineers (IEEE).
[8]
Reimann, M. M., Hindriks, K. V., Kunneman, F. A., Oertel, C., Skantze, G., Leite, I. (2025). What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 708-716). Institute of Electrical and Electronics Engineers (IEEE).
[9]
Irfan, B., Skantze, G. (2025). Between You and Me: Ethics of Self-Disclosure in Human-Robot Interaction. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 1357-1362). Institute of Electrical and Electronics Engineers (IEEE).
[10]
Janssens, R., Pereira, A., Skantze, G., Irfan, B., Belpaeme, T. (2025). Online Prediction of User Enjoyment in Human-Robot Dialogue with LLMs. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 1363-1367). Institute of Electrical and Electronics Engineers (IEEE).
[11]
Cros Vila, L., Sturm, B. (2025). (Mis)Communicating with our AI Systems. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery (ACM).
[12]
Kamelabad, A. M., Inoue, E., Skantze, G. (2025). Comparing Monolingual and Bilingual Social Robots as Conversational Practice Companions in Language Learning. In Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 829-838).
[13]
Gonzalez Oliveras, P., Engwall, O. & Wilde, A. (2025). Social Educational Robotics and Learning Analytics : A Scoping Review of an Emerging Field. International Journal of Social Robotics.
[14]
Cai, H. & Ternström, S. (2025). A WaveNet-based model for predicting the electroglottographic signal from the acoustic voice signal. Journal of the Acoustical Society of America, 157(4), 3033-3044.
[15]
Marcinek, L., Beskow, J., Gustafsson, J. (2025). A Dual-Control Dialogue Framework for Human-Robot Interaction Data Collection : Integrating Human Emotional and Contextual Awareness with Conversational AI. In Social Robotics - 16th International Conference, ICSR + AI 2024, Proceedings. (pp. 290-297). Springer Nature.
[16]
Mishra, C., Skantze, G., Hagoort, P., Verdonschot, R. (2025). Perception of Emotions in Human and Robot Faces : Is the Eye Region Enough?. In Social Robotics - 16th International Conference, ICSR + AI 2024, Proceedings. (pp. 290-303). Springer Nature.
[17]
Herbst, C. T., Tokuda, I. T., Nishimura, T., Ternström, S., Ossio, V., Levy, M. ... Dunn, J. C. (2025). ‘Monkey yodels’—frequency jumps in New World monkey vocalizations greatly surpass human vocal register transitions. Philosophical Transactions of the Royal Society of London. Biological Sciences, 380(1923).
[18]
Irfan, B., Kuoppamäki, S., Hosseini, A. & Skantze, G. (2025). Between reality and delusion : challenges of applying large language models to companion robots for open-domain dialogues with older adults. Autonomous Robots, 49(1).
[19]
Borg, A., Georg, C., Jobs, B., Huss, V., Waldenlind, K., Ruiz, M. ... Parodis, I. (2025). Virtual Patient Simulations Using Social Robotics Combined With Large Language Models for Clinical Reasoning Training in Medical Education: Mixed Methods Study. Journal of Medical Internet Research, 27.
[20]
Cai, H. (2025). Mapping voice quality in normal, pathological and synthetic voices (Doctoral thesis , KTH Royal Institute of Technology, Stockholm, TRITA-EECS-AVL 2025:25). Retrieved from https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-360211.
[21]
Kanhov, E., Kaila, A.-K. & Sturm, B. L. T. (2025). Innovation, data colonialism and ethics : critical reflections on the impacts of AI on Irish traditional music. Journal of New Music Research, 1-17.
[22]
Włodarczak, M., Ludusan, B., Sundberg, J. & Heldner, M. (2025). Classification of voice quality using neck-surface acceleration : Comparison with glottal flow and radiated sound. Journal of Voice, 39(1), 10-24.
[23]
Székely, É., Hope, M. (2024). An inclusive approach to creating a palette of synthetic voices for gender diversity. In Proc. Interspeech 2024. (pp. 3070-3074).
[24]
Green, O., Sturm, B., Born, G., Wald-Fuhrmann, M. (2024). A critical survey of research in music genre recognition. In Proceedings of the 25th International Society for Music Information Retrieval (ISMIR) Conference, 2024. (pp. 745-782). International Society for Music Information Retrieval.
[25]
Sturm, B., Kanhov, E., Holzapfel, A. (Eds.). (2024). Collected Materials of The First International Conference in AI Music Studies : Prospects, Challenges and Methodologies of Studying AI Music in the Humanities and Social Sciences . KTH Royal Institute of Technology.
[26]
Cao, X., Fan, Z., Svendsen, T., Salvi, G. (2024). A Framework for Phoneme-Level Pronunciation Assessment Using CTC. In Interspeech 2024. (pp. 302-306). International Speech Communication Association.
[27]
Blomsma, P., Vaitonyté, J., Skantze, G. & Swerts, M. (2024). Backchannel behavior is idiosyncratic. Language and Cognition, 16(4), 1158-1181.
[28]
Edlund, J., Tånnander, C., Le Maguer, S., Wagner, P. (2024). Assessing the impact of contextual framing on subjective TTS quality. In Interspeech 2024. (pp. 1205-1209). International Speech Communication Association.
[29]
Székely, É., Hope, M. (2024). An inclusive approach to creating a palette of synthetic voices for gender diversity. In Interspeech 2024. (pp. 3070-3074). International Speech Communication Association.
[30]
Tånnander, C., Mehta, S., Beskow, J., Edlund, J. (2024). Beyond graphemes and phonemes: continuous phonological features in neural text-to-speech synthesis. In Interspeech 2024. (pp. 2815-2819). International Speech Communication Association.
[31]
Wang, S., Székely, É., Gustafsson, J. (2024). Contextual Interactive Evaluation of TTS Models in Dialogue Systems. In Interspeech 2024. (pp. 2965-2969). International Speech Communication Association.
[32]
Lameris, H., Gustafsson, J., Székely, É. (2024). CreakVC : A Voice Conversion Tool for Modulating Creaky Voice. In Interspeech 2024. (pp. 1005-1006). International Speech Communication Association.
[33]
Francis, J., Székely, É., Gustafsson, J. (2024). ConnecTone : A Modular AAC System Prototype with Contextual Generative Text Prediction and Style-Adaptive Conversational TTS. In Interspeech 2024. (pp. 1001-1002). International Speech Communication Association.
[34]
Kamelabad, A. M., Engwall, O., Skantze, G. (2024). Conformity and Trust in Multi-party vs. Individual Human-Robot Interaction. In Proceedings of the 24th ACM International Conference on Intelligent Virtual Agents. New York, NY United States: Association for Computing Machinery (ACM).
[35]
(2024). A DIFFICULT CHRISTMAS. .
[36]
Ternström, S., Bernardoni, N. H., Birkholz, P., Guasch, O., Gully, A. (Eds.). (2024). Computational Analysis and Simulation of the Human Voice (Dagstuhl Seminar 24242) . Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
[37]
Kynych, F., Cerva, P., Zdansky, J., Svendsen, T. & Salvi, G. (2024). A lightweight approach to real-time speaker diarization : from audio toward audio-visual data streams. EURASIP Journal on Audio, Speech, and Music Processing, 2024(1).
[38]
Green, O., Sturm, B., Born, G., Wald-Fuhrmann, M. (2024). A Critical Survey of Research in Music Genre Recognition. In Proc. International Society for Music Information Retrieval Conference. ISMIR.
[39]
Sturm, B., Déguernel, K., Huang, R. S., Kaila, A.-K., Jääskeläinen, P., Kanhov, E., Cros Vila, L., Dalmazzo, D., Casini, L., Bown, O., Collins, N., Drott, E., Sterne, J., Holzapfel, A., Ben-Tal, O. (2024). AI Music Studies : Preparing for the Coming Flood. In Proceedings of AI Music Creativity..
[40]
Thomé, C., Sturm, B., Pertoft, J., Jonason, N. (2024). Applying textual inversion to control and personalize text-to-music models. In Proc. 15th Int. Workshop on Machine Learning and Music..
[41]
Dalmazzo, D., Déguernel, K., Sturm, B. (2024). ChromaFlow: Modeling And Generating Harmonic Progressions With a Transformer And Voicing Encoding. In MML 2024: 15th International Workshop on Machine Learning and Music, 2024, Vilnius, Lithuania. Vilnius, Lithuania.
[42]
Jansson, M., Tian, K., Hrastinski, S., Engwall, O. (2024). An initial exploration of semi-automated tutoring : How AI could be used as support for online human tutors. In Proceedings of the Fourteenth International Conference on Networked Learning. Aalborg University.
[43]
Arvidsson, C., Torubarova, E., Abelho Pereira, A. T. & Udden, J. (2024). Conversational production and comprehension : fMRI-evidence reminiscent of but deviant from the classical Broca-Wernicke model. Cerebral Cortex, 34(3).
[44]
Jääskeläinen, P., Kanhov, E. (2024). Data Ethics and Practices of Human-Nonhuman Sound Technologies and Ecologies. In VIHAR '24 - 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots..
[45]
Ekström, A. G. (2024). Correcting the record : Phonetic potential of primate vocal tracts and the legacy of Philip Lieberman (1934−2022). American Journal of Primatology, 86(8).
[46]
Ekström, A. G., Gannon, C., Edlund, J., Moran, S. & Lameira, A. R. (2024). Chimpanzee utterances refute purported missing links for novel vocalizations and syllabic speech. Scientific Reports, 14(1).
[47]
Ekström, A. G. (2024). A Theory That Never Was: Wrong Way to the “Dawn of Speech”. Biolinguistics, 18.
[48]
Kaila, A.-K., Sturm, B. (2024). Agonistic Dialogue on the Value and Impact of AI Music Applications. In Proceedings of the 2024 International Conference on AI and Musical Creativity. Oxford, UK.
[49]
Borg, A., Parodis, I., Skantze, G. (2024). Creating Virtual Patients using Robots and Large Language Models : A Preliminary Study with Medical Students. In HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 273-277). Association for Computing Machinery (ACM).
[50]
Baker, C. P., Sundberg, J., Purdy, S. C., Rakena, T. O. & Leão, S. H. D. S. (2024). CPPS and Voice-Source Parameters : Objective Analysis of the Singing Voice. Journal of Voice, 38(3), 549-560.
Full list in the KTH publications portal