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TMH Publications (latest 50)

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

TMH Publications

Saponaro, G., Jamone, L., Bernardino, A. & Salvi, G. (2020). Beyond the Self: Using Grounded Affordances to Interpret and Describe Others’ Actions. IEEE Transactions on Cognitive and Developmental Systems, 12(2), 209-221.
Ternström, S., D'Amario, S. & Selamtzis, A. (2020). Effects of the lung volume on the electroglottographic waveform in trained female singers. Journal of Voice, 34(3), 485.e1-485.e21.
Pabon, P. & Ternström, S. (2020). Feature maps of the acoustic spectrum of the voice. Journal of Voice, 34(1), 161.e1-161.e26.
Bisesi, E., Friberg, A. & Parncutt, R. (2019). A Computational Model of Immanent Accent Salience in Tonal Music. Frontiers in Psychology, 10(317), 1-19.
Kucherenko, T., Hasegawa, D., Henter, G. E., Kaneko, N., Kjellström, H. (2019). Analyzing Input and Output Representations for Speech-Driven Gesture Generation. In 19th ACM International Conference on Intelligent Virtual Agents. New York, NY, USA: ACM Publications.
Ternström, S., Pabon, P. (2019). Accounting for variability over the voice range. In Proceedings of the ICA 2019 and EAA Euroregio. (pp. 7775-7780). Aachen, DE: Deutsche Gesellschaft für Akustik (DEGA e.V.).
Sturm, B., Iglesias, M., Ben-Tal, O., Miron, M. & Gómez, E. (2019). Artificial Intelligence and Music: Open Questions of Copyright Law and Engineering Praxis. MDPI Arts, 8(3).
Stefanov, K. (2020). Self-Supervised Vision-Based Detection of the Active Speaker as Support for Socially-Aware Language Acquisition. IEEE Transactions on Cognitive and Developmental Systems, 12(1).
Zhang, C., Oztireli, C., Mandt, S., Salvi, G. (2019). Active Mini-Batch Sampling Using Repulsive Point Processes. Presented at 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Location: Honolulu, HI, JAN 27-FEB 01, 2019. (pp. 5741-5748). ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
Ardal, D., Alexandersson, S., Lempert, M., Abelho Pereira, A. T. (2019). A Collaborative Previsualization Tool for Filmmaking in Virtual Reality. In Proceedings - CVMP 2019: 16th ACM SIGGRAPH European Conference on Visual Media Production. ACM Digital Library.
Kontogiorgos, D., van Waveren, S., Wallberg, O., Abelho Pereira, A. T., Leite, I., Gustafson, J. (2020). Embodiment Effects in Interactions with Failing Robots. Presented at SIGCHI Conference on Human Factors in Computing Systems, CHI ’20, April 25–30, 2020, Honolulu, HI, USA. ACM Digital Library.
Alexanderson, S., Henter, G. E., Kucherenko, T. & Beskow, J. (2020). Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows. Computer graphics forum (Print), 39(2), 487-496.
Abelho Pereira, A. T., Oertel, C., Fermoselle, L., Mendelson, J., Gustafson, J. (2020). Effects of Different Interaction Contexts when Evaluating Gaze Models in HRI. Presented at ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 23-26, 2020, Cambridge, ENGLAND. (pp. 131-138). Association for Computing Machinery (ACM).
Kontogiorgos, D., Abelho Pereira, A. T., Sahindal, B., van Waveren, S., Gustafson, J. (2020). Behavioural Responses to Robot Conversational Failures. In HRI '20: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. ACM Digital Library.
Leijon, A., Dahlquist, M. & Smeds, K. (2019). Bayesian analysis of paired-comparison sound quality ratings. Journal of the Acoustical Society of America, 146(5), 3174-3183.
Kontogiorgos, D., Pelikan, H. (2020). Towards Adaptive and Least-Collaborative-Effort Social Robots. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020, Cambridge, UK, March 23-26, 2020. IEEE conference proceedings.
Engwall, O., David Lopes, J. & Åhlund, A. (2020). Robot interaction styles for conversation practice in second language learning. International Journal of Social Robotics.
Cumbal, R., Lopes, J., Engwall, O. (2020). Uncertainty in robot assisted second language conversation practice. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 171-173). Association for Computing Machinery (ACM).
Shore, T., Skantze, G. (2020). Using lexical alignment and referring ability to address data sparsity in situated dialog reference resolution. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. (pp. 2288-2297). Association for Computational Linguistics.
Lã, F. M.B. & Ternström, S. (2020). Flow ball-assisted voice training : Immediate effects on vocal fold contacting. Biomedical Signal Processing and Control, 62.
Shahrebabaki, A. S., Siniscalchi, M. S., Salvi, G., Svendsen, T. K. (2020). Sequence-to-sequence articulatory inversion through time convolution of sub-band frequency signals. In Interspeech. (pp. 2882-2886). Shanghai, China: The International Speech Communication Association (ISCA).
Engwall, O. & David Lopes, J. (2020). Interaction and collaboration in robot-assisted language learning for adults. Computer Assisted Language Learning.
Nix, J., Jers, H. & Ternström, S. (2020). Acoustical, psychoacoustical, and pedagogical considerations for choral singing with covid-19 health measures. Choral Journal, 61(3), 32-40.
Ben-Tal, O., Harris, M. & Sturm, B. (2020). How music AI is useful : Engagements with composers, performers, and audiences. Leonardo music journal, 1-13.
Petrovska, D., Hennebert, J., Melin, H., Genoud, D. (2020). Polycost : A telephone-speech database for speaker recognition. In RLA2C 1998 - Speaker Recognition and its Commercial and Forensic Applications. (pp. 211-214). International Speech Communication Association.
Elowsson, A. (2020). Polyphonic pitch tracking with deep layered learning. Journal of the Acoustical Society of America, 148(1), 446-468.
Gill, B. P., Lã, F. M. B., Lee, J. & Sundberg, J. (2020). Spectrum Effects of a Velopharyngeal Opening in Singing. Journal of Voice, 34(3), 346-351.
Saldías, M., Laukkanen, A. -., Guzmán, M., Miranda, G., Stoney, J., Alku, P. & Sundberg, J. (2020). The Vocal Tract in Loud Twang-Like Singing While Producing High and Low Pitches. Journal of Voice.
Axelsson, N., Skantze, G. (2020). Using knowledge graphs and behaviour trees for feedback-aware presentation agents. In Proceedings of IVA 2020..
Henter, G. E., Alexanderson, S. & Beskow, J. (2020). MoGlow: Probabilistic and controllable motion synthesis using normalising flows. ACM Transactions on Graphics, 39(4), 236:1-236:14.
Jonason, N., Sturm, B., Thomé, C. (2020). The control-synthesis approach for making expressive and controllable neural music synthesizers. In Proceedings of the 2020 AI Music Creativity Conference..
Cumbal, R., David Lopes, J., Engwall, O. (2020). Detection of Listener Uncertainty in Robot-Led Second Language Conversation Practice. Presented at 22nd ACM International Conference on Multimodal Interaction. Utrecht, the Netherlands.
Székely, É., Edlund, J., Gustafson, J. (2020). Augmented Prompt Selection for Evaluation of Spontaneous Speech Synthesis. In Proceedings of The 12th Language Resources and Evaluation Conference..
Székely, É., Henter, G. E., Beskow, J., Gustafson, J. (2020). Breathing and Speech Planning in Spontaneous Speech Synthesis. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.
White, L. & Malisz, Z. (2020). Speech rhythm and timing. In Carlos Gussenhoven and Aoju Chen (Ed.), Oxford Handbook of Language Prosody. Oxford: Oxford University Press.
Strombergsson, S., Holm, K., Edlund, J., Lagerberg, T. & McAllister, A. (2020). Audience Response System-Based Evaluation of Intelligibility of Children's Connected Speech - Validity, Reliability and Listener Differences. Journal of Communication Disorders, 87.
Alexanderson, S., Henter, G. E., Kucherenko, T. & Beskow, J. (2020). Style-Controllable Speech-Driven Gesture Synthesis Using Normalising FlowsKeywords. Computer graphics forum (Print), 39(2), 487-496.
Kucherenko, T., Jonell, P., van Waveren, S., Henter, G. E., Alexanderson, S., Leite, I., Kjellström, H. (2020). Gesticulator : A framework for semantically-aware speech-driven gesture generation. In ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction. Association for Computing Machinery (ACM).
Leijon, A., Dillon, H., Hickson, L., Kinkel, M., Kramer, S. E. & Nordqvist, P. (2020). Analysis of data from the International Outcome Inventory for Hearing Aids (IOI-HA) using Bayesian Item Response Theory. International Journal of Audiology.
Patel, R. R., Sundberg, J., Gill, B. & Lã, F. M. B. (2020). Glottal Airflow and Glottal Area Waveform Characteristics of Flow Phonation in Untrained Vocally Healthy Adults. Journal of Voice.
Chettri, B., Benetos, E. & Sturm, B. (2020). Dataset Artefacts in Anti-Spoofing Systems : A Case Study on the ASVspoof 2017 Benchmark. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 28, 3018-3028.
Henter, G. E., Alexanderson, S. & Beskow, J. (2020). MoGlow : Probabilistic and Controllable Motion Synthesis Using Normalising Flows. ACM Transactions on Graphics, 39(6).
Kalpakchi, D., Boye, J. (2020). UDon2: a library for manipulating Universal Dependencies trees. In Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020). (pp. 120-125).
Sturm, B. (Ed.). (2020). Proceedings of The 2020 Joint Conference on AI Music Creativity . KTH Royal Institute of Technology.
Skantze, G. (2021). Turn-taking in Conversational Systems and Human-Robot Interaction : A Review. Computer speech & language (Print), 67.
Jonell, P., Kucherenko, T., Henter, G. E., Beskow, J. (2020). Let’s face it : Probabilistic multi-modal interlocutor-aware generation of facial gestures in dyadic settings. In IVA '20: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents. Association for Computing Machinery (ACM).
Jonell, P., Kucherenko, T., Torre, I., Beskow, J. (2020). Can we trust online crowdworkers? : Comparing online and offline participants in a preference test of virtual agents. In IVA '20: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents. Association for Computing Machinery (ACM).
Ambrazaitis, G., Frid, J., House, D. (2020). Word prominence ratings in Swedish television news readings : Effects of pitch accents and head movements. In Proceedings of the International Conference on Speech Prosody. (pp. 314-318). International Speech Communication Association.
Full list in the KTH publications portal
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Belongs to: Speech, Music and Hearing
Last changed: Oct 17, 2018