Published works
[1] Nhan Phan, Anna von Zansen, Maria Kautonen, Ekaterina Voskoboinik, Tamás Grósz, Raili Hildén, and Mikko Kurimo. 2024. Automated content assessment and feedback for Finnish L2 learners in a picture description speaking task. Proc. Interspeech 2024, 317-321, doi: 10.21437/Interspeech.2024-1166
[2] Nhan Phan, Anna von Zansen, Maria Kautonen, Tamás Grósz, and Mikko Kurimo. 2024. CaptainA self-study mobile app for practising speaking: task completion assessment and feedback with generative AI. Proc. Interspeech 2024, 5212-5213
[3] Yaroslav Getman, Nhan Phan, Ragheb Al-Ghezi, Ekaterina Voskoboinik, Mittul Singh, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson, Anna Smolander and Sari Ylinen. Developing an AI-assisted Low-resource Spoken Language Learning App for Children. IEEE Access, vol. 11, pp. 86025-86037, 2023, doi: 10.1109/ACCESS.2023.3304274. 2023.
[4] Dejan Porjazovski, Yaroslav Getman, Tamas Grósz, Mikko Kurimo. Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. ACM Multimedia 2023 Multimedia Grand Challenges Track, October 2023.
[5] Yaroslav Getman, Ragheb Al-Ghezi, Tamas Grosz and Mikko Kurimo. Multi-task wav2vec2 Serving as a Pronunciation Training System for Children. Proc. 9th Workshop on Speech and Language Technology in Education (SLaTE 2023), August 2023.
[6] Reima Karhila, Sari Ylinen, Anna-Riikka Smolander, Aku Rouhe, Ragheb Al-Ghezi, Yaroslav Getman, Tamas Grosz, Maria Uther and Mikko Kurimo. Pronunciation Scoring System Embedded into Children’s Foreign Language Learning Games with Experimental Verification of Learning Benefits. Proc. 9th Workshop on Speech and Language Technology in Education (SLaTE 2023), August 2023.
[7] Mikko Kurimo, Yaroslav Getman, Ekaterina Voskoboinik, Ragheb Al-Ghezi, Heini Kallio, Mikko Kuronen, Anna von Zansen, Raili Hilden, Sirkku Kronholm, Ari Huhta and Krister Linden. New data, Benchmark and Baseline for L2 Speaking Assessment for Low-resource Languages. Proc. 9th Workshop on Speech and Language Technology in Education (SLaTE 2023), August 2023.
[8] Tamás Grósz, Yaroslav Getman, Ragheb Al-Ghezi, Aku Rouhe and Mikko Kurimo. Investigating Wav2vec2 Context Representations and The Effects of Fine-Tuning, A Case-study of a Finnish Model. Proc. Interspeech, August 2023.
[9] Xinwei Cao, Zijian Fan, Torbjørn Svendsen, Giampiero Salvi. An Analysis of Goodness of Pronunciation for Child Speech. Proc. Interspeech, August 2023.
[10] Nhan Phan, Tamás Grósz, Mikko Kurimo. CaptainA – A Mobile App for Practising Finnish Pronunciation. NoDaLiDa 2023, ACL, May 2023.
[11] Georgios Karakasidis, Nathaniel Robinson, Yaroslav Getman, Atieno Ogayo, Ragheb Al-Ghezi, Ananya Ayasi, Shinji Watanabe, David R. Mortensen and Mikko Kurimo. Multilingual TTS Accent Impressions for Accented ASR. Proc. TSD (Text, Speech and Dialogue), September 2023.
[12] Ragheb Al-Ghezi, Yaroslav Getman, Ekaterina Voskoboinik, Mittul Singh, Mikko Kurimo. Automatic Rating of Spontaneous Speech for Low-Resource Languages. IEEE Spoken Language Technology Workshop (SLT 2022), 2023.
[13] Azaiez, N., Loberg, O., Lohvansuu, K., Ylinen, S., Hämäläinen, J.A., & Leppänen, P.H.T. (2023). Discriminatory Brain Processes of Native and Foreign Language in Children with and without Reading Difficulties. Brain Sciences, 13, 76. https://doi.org/10.3390/brainsci13010076