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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]
Senane, Z., Cao, L., Buchner, V. L., Tashiro, Y., You, L., Herman, P., Nordahl, M., Tu, R., Von Ehrenheim, V. (2024). Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask. I KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (s. 2560-2571). Association for Computing Machinery (ACM).
[2]
Casini, L., Jonason, N., Sturm, B. (2024). Sparks of Musical AGI? Challenges and perspectives in music co-creation with LLMs : A qualitative exploration of the music knowledge of LLMs and their use for music creation. Presenterad vid International Conference on AI and Musical Creativity (AIMC) 2024, Oxford UK, 9 - 11 September 2024.
[3]
Engström, H., Włodarczak, M., Ternström, S. (2024). Mapping the effect of body position : Voice quality differences in connected speech. I Proceedings of FONETIK 2024, Stockholm, June 3-€“5, 2024. (s. 21-26). Stockholm Univeristy.
[4]
Rafiei, S., Brunnström, K., Schenkman, B., Andersson, J., Sjöström, M. (2024). Laboratory study : Human Interaction using Remote Control System for Airport Safety Management. I 2024 16th International Conference on Quality of Multimedia Experience, QoMEX 2024. (s. 167-170). Institute of Electrical and Electronics Engineers (IEEE).
[5]
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).
[6]
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. I Proceedings of the Fourteenth International Conference on Networked Learning. Aalborg University.
[7]
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).
[8]
Jääskeläinen, P., Kanhov, E. (2024). Data Ethics and Practices of Human-Nonhuman Sound Technologies and Ecologies. I VIHAR '24 - 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots..
[9]
Ekström, A. G., Madison, G., Olsson, E. J. & Tsapos, M. (2024). The search query filter bubble: effect of user ideology on political leaning of search results through query selection. Information, Communication and Society, 27(5), 878-894.
[10]
Ekström, A. (2024). Phonetic potential in the extant apes and extinct hominins (Doktorsavhandling , KTH Royal Institute of Technology, Stockholm, Sweden, TRITA-EECS-AVL 55). Hämtad från https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-351250.
[11]
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).
[12]
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).
[13]
Ternström, S. (2024). Vocal Function and Range. NCVS Insights, 2(2).
[14]
Malmberg, F., Klezovich, A., Mesch, J., Beskow, J. (2024). Exploring Latent Sign Language Representations with Isolated Signs, Sentences and In-the-Wild Data. I 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources, sign-lang@LREC-COLING 2024. (s. 219-224). Association for Computational Linguistics (ACL).
[15]
Mehta, S., Tu, R., Beskow, J., Székely, É., Henter, G. E. (2024). MATCHA-TTS: A FAST TTS ARCHITECTURE WITH CONDITIONAL FLOW MATCHING. I 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. (s. 11341-11345). Institute of Electrical and Electronics Engineers (IEEE).
[16]
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. I Proceedings New Interfaces for Musical Expression NIME’24..
[17]
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. I Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)..
[18]
Tånnander, C., O'Regan, J., House, D., Edlund, J., Beskow, J. (2024). Prosodic characteristics of English-accented Swedish neural TTS. I Proceedings of Speech Prosody 2024. (s. 1035-1039). Leiden, The Netherlands: International Speech Communication Association.
[19]
Misra, S., Boye, J. (2024). Nested Noun Phrase Identification using BERT. I 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. (s. 12138-12143). European Language Resources Association (ELRA).
[20]
Malisz, Z., Foremski, J., Kul, M. (2024). PRODIS - a speech database and a phoneme-based language model for the study of predictability effects in Polish. I 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. (s. 13068-13073). European Language Resources Association (ELRA).
[21]
Inoue, K., Jiang, B., Ekstedt, E., Kawahara, T., Skantze, G. (2024). Multilingual Turn-taking Prediction Using Voice Activity Projection. I 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. (s. 11873-11883). European Language Resources Association (ELRA).
[22]
Tånnander, C., Edlund, J., Gustafsson, J. (2024). Revisiting Three Text-to-Speech Synthesis Experiments with a Web-Based Audience Response System. I 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. (s. 14111-14121). European Language Resources Association (ELRA).
[23]
Wang, S., Székely, É. (2024). Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model. I 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. (s. 6464-6474). European Language Resources Association (ELRA).
[24]
Lameris, H., Székely, É., Gustafsson, J. (2024). The Role of Creaky Voice in Turn Taking and the Perception of Speaker Stance: Experiments Using Controllable TTS. I 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. (s. 16058-16065). European Language Resources Association (ELRA).
[25]
Irfan, B., Kuoppamäki, S. & Skantze, G. (2024). Recommendations for designing conversational companion robots with older adults through foundation models. Frontiers in Robotics and AI, 11.
[26]
Wennberg, U., Henter, G. E. (2024). Exploring Internal Numeracy in Language Models: A Case Study on ALBERT. I MathNLP 2024: 2nd Workshop on Mathematical Natural Language Processing at LREC-COLING 2024 - Workshop Proceedings. (s. 35-40). European Language Resources Association (ELRA).
[27]
Esfandiari-Baiat, G., Edlund, J. (2024). The MEET Corpus: Collocated, Distant and Hybrid Three-party Meetings with a Ranking Task. I ISA 2024: 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation at LREC-COLING 2024, Workshop Proceedings. (s. 1-7). European Language Resources Association (ELRA).
[28]
Müller, M., Dixon, S., Volk, A., Sturm, B., Rao, P. & Gotham, M. (2024). Introducing the TISMIR Education Track: What, Why, How?. Transactions of the International Society for Music Information Retrieval, 7(1), 85-98.
[29]
Casini, L., Jonason, N., Sturm, B. (2024). Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation. I ARTIFICIAL INTELLIGENCE IN MUSIC, SOUND, ART AND DESIGN, EVOMUSART 2024. (s. 84-96). Springer Nature.
[30]
Dalmazzo, D., Deguernel, K., Sturm, B. (2024). The Chordinator : Modeling Music Harmony by Implementing Transformer Networks and Token Strategies. I ARTIFICIAL INTELLIGENCE IN MUSIC, SOUND, ART AND DESIGN, EVOMUSART 2024. (s. 52-66). Springer Nature.
[31]
Ekström, A. G. (2024). A Theory That Never Was: Wrong Way to the “Dawn of Speech”. Biolinguistics, 18.
[32]
Kaila, A.-K., Sturm, B. (2024). Agonistic Dialogue on the Value and Impact of AI Music Applications. I Proceedings of the 2024 International Conference on AI and Musical Creativity. Oxford, UK.
[33]
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, 1-22.
[34]
Ternström, S. (2024). Pragmatic De-Noising of Electroglottographic Signals. Bioengineering, 11(5), 479.
[35]
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.
[36]
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.
[37]
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).
[38]
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).
[39]
Kamelabad, A. M. (2024). The Qestion Is Not Whether; It Is How!. I HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (s. 112-114). Association for Computing Machinery (ACM).
[40]
Irfan, B., Staffa, M., Bobu, A., Churamani, N. (2024). Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning. I HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (s. 1323-1325). Association for Computing Machinery (ACM).
[41]
Axelsson, A., Vaddadi, B., Bogdan, C. M., Skantze, G. (2024). Robots in autonomous buses: Who hosts when no human is there?. I HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (s. 1278-1280). Association for Computing Machinery (ACM).
[42]
Wolfert, P., Henter, G. E. & Belpaeme, T. (2024). Exploring the Effectiveness of Evaluation Practices for Computer-Generated Nonverbal Behaviour. Applied Sciences, 14(4).
[43]
Cumbal, R., Engwall, O. (2024). Speaking Transparently : Social Robots in Educational Settings. I Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24 Companion), March 11--14, 2024, Boulder, CO, USA..
[44]
Cumbal, R. (2024). Robots Beyond Borders : The Role of Social Robots in Spoken Second Language Practice (Doktorsavhandling , KTH Royal Institute of Technology, Stockholm, TRITA-EECS-AVL 2024:23). Hämtad från https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-343863.
[45]
Ternström, S. (2024). Update 3.1 to FonaDyn : A system for real-time analysis of the electroglottogram, over the voice range. SoftwareX, 26.
[46]
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.
[47]
Kalpakchi, D. & Boye, J. (2024). Quinductor: A multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies. Natural Language Engineering, 217-255.
[48]
Rosenberg, S., Sundberg, J. & Lã, F. (2024). Kulning : Acoustic and Perceptual Characteristics of a Calling Style Used Within the Scandinavian Herding Tradition. Journal of Voice, 38(3), 585-594.
[49]
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.
[50]
Körner Gustafsson, J., Södersten, M., Ternström, S. & Schalling, E. (2024). Treatment of Hypophonia in Parkinson’s Disease Through Biofeedback in Daily Life Administered with A Portable Voice Accumulator. Journal of Voice, 38(3), 800.e27-800.e38.
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