Skip to main content
To KTH's start page

TMH Publications (latest 50)

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

TMH Publications

[1]
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).
[2]
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).
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
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).
[8]
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).
[9]
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.
[10]
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.
[11]
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.
[12]
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.
[13]
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.
[14]
Kaila, A.-K., Kanhov, E., Sturm, B. (2024). Ethnographic Considerations and Critical Reflections on the Impacts of AI on Traditional Irish Music. Presented at British Forum for Ethnomusicology & International Council for Traditional Music Ireland Joint-Annual Conference, Cork, Ireland University College Cork, 4-7 April, 2024.
[15]
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.
[16]
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.
[17]
Blomsma, P., Vaitonyté, J., Skantze, G. & Swerts, M. (2024). Backchannel behavior is idiosyncratic. Language and Cognition, 16(4), 1158-1181.
[18]
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.
[19]
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.
[20]
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.
[21]
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.
[22]
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.
[23]
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.
[24]
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).
[25]
(2024). A DIFFICULT CHRISTMAS. .
[26]
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.
[27]
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).
[28]
Kejriwal, J., Mishra, C., Skantze, G., Offrede, T. & Beňuš, Š. (2024). Does a robot's gaze behavior affect entrainment in HRI?. Computing and informatics, 43(5), 1256-1284.
[29]
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.
[30]
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..
[31]
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..
[32]
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.
[33]
Kanhov, E. (2024). Entanglements with Deepfake : AI Voice Models and their Diffractive Potential. Presented at 12th New Materialisms Conference. Intersectional Materialisms: Diversity in Creative Industries, Methods & Practices. 26-28 August, 2024, Kildare, Ireland.
[34]
Borg, A., Jobs, B., Huss, V., Gentline, C., Espinosa, F., Ruiz, M. ... Parodis, I. (2024). Enhancing clinical reasoning skills for medical students : a qualitative comparison of LLM-powered social robotic versus computer-based virtual patients within rheumatology. Rheumatology International, 44(12), 3041-3051.
[35]
Kucherenko, T., Wolfert, P., Yoon, Y., Viegas, C., Nikolov, T., Tsakov, M. & Henter, G. E. (2024). Evaluating Gesture Generation in a Large-scale Open Challenge : The GENEA Challenge 2022. ACM Transactions on Graphics, 43(3).
[36]
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.
[37]
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).
[38]
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..
[39]
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).
[40]
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).
[41]
Amerotti, M., Sturm, B., Benford, S., Maruri-Aguilar, H., Vear, C. (2024). Evaluation of an Interactive Music Performance System in the Context of Irish Traditional Dance Music. In Proceedings New Interfaces for Musical Expression NIME’24. International Conference on New Interfaces for Musical Expression.
[42]
Jonason, N., Wang, X., Cooper, E., Juvela, L., Sturm, B., Yamagishi, J. (2024). DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input. In Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)..
[43]
Wang, S., Székely, É. (2024). Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model. In 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. (pp. 6464-6474). European Language Resources Association (ELRA).
[44]
Ekström, A. G. (2024). A Theory That Never Was: Wrong Way to the “Dawn of Speech”. Biolinguistics, 18.
[45]
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.
[46]
Iob, N. A., He, L., Ternström, S., Cai, H. & Brockmann-Bauser, M. (2024). Effects of Speech Characteristics on Electroglottographic and Instrumental Acoustic Voice Analysis Metrics in Women With Structural Dysphonia Before and After Treatment. Journal of Speech, Language and Hearing Research, 67(6), 1660-1681.
[47]
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.
[48]
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).
[49]
Sundberg, J., Salomão, G. L. & Scherer, K. R. (2024). Emotional expressivity in singing : Assessing physiological and acoustic indicators of two opera singers' voice characteristics. Journal of the Acoustical Society of America, 155(1), 18-28.
[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