Tamás Grósz
Project Employee
Project Employee
T412 Department of Information and Communications Engineering
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Phone number
+358451711834
Honors and awards
The ACM Multimedia 2023 Computational Paralinguistics Challenge Prize
We have received the prize for winning the Emotion Share sub-challenge. More info at http://www.compare.openaudio.eu/winners/
Invitation or ranking in competition
Speech Recognition
Jan 2023
Research groups
- Speech Recognition, Project Employee
Publications
Collecting Linguistic Resources for Assessing Children's Pronunciation of Nordic Languages
Anne Marte Haug Olstad, Anna Smolander, Sofia Strömbergsson, Sari Ylinen, Minna Lehtonen, Mikko Kurimo, Yaroslav Getman, Támas Grosz, Xinwei Cao, Torbjørn Svendsen, Giampiero Salvi
2024
2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings
Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-hour Scale
Aku Rouhe, Tamás Grósz, Mikko Kurimo
2024
Listening like a speech-training app: Expert and non-expert listeners’ goodness ratings of children’s speech
Sofia Strömbergsson, Molly Fröjdh, Magdalena Pettersson, Tamás Grósz, Yaroslav Getman, Mikko Kurimo
2024
INVESTIGATING THE CLUSTERS DISCOVERED BY PRE-TRAINED AV-HUBERT
Anja Virkkunen, Guangpu Huang, Tamas Grosz, Mikko Kurimo
2024
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
Developing an AI-assisted Low-resource Spoken Language Learning App for Children
Yaroslav Getman, Nhan Phan, Ragheb Al-Ghezi, Ekaterina Voskoboinik, Mittul Singh, Tamas Grosz, Mikko Kurimo, Giampiero Salvi, Torbjorn Svendsen, Sofia Strombergsson, Anna Smolander, Sari Ylinen
2023
Multi-task wav2vec2 Serving as a Pronunciation Training System for Children
Yaroslav Getman, Ragheb Al-Ghezi, Tamas Grosz, Mikko Kurimo
2023
9th Workshop on Speech and Language Technology in Education (SLaTE)
Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model
Tamas Grosz, Yaroslav Getman, Ragheb Al-Ghezi, Aku Rouhe, Mikko Kurimo
2023
Proceedings of Interspeech 2023
Discovering Relevant Sub-spaces of BERT, Wav2Vec 2.0, ELECTRA and ViT Embeddings for Humor and Mimicked Emotion Recognition with Integrated Gradients
Tamás Grósz, Anja Virkkunen, Dejan Porjazovski, Mikko Kurimo
2023
MuSe '23: Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation
A pronunciation Scoring System Embedded into Children’s Foreign Language Learning Games with Experimental Verification of Learning Benefits
Reima Karhila, Sari Ylinen, Anna-Riikka Smolander, Aku Rouhe, Ragheb Al-Ghezi, Yaroslav Getman, Tamas Grosz, Maria Uther, Mikko Kurimo
2023
9th Workshop on Speech and Language Technology in Education (SLaTE)
Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Ragheb AlGhezi, Mietta Lennes, Tamás Grósz, Krister Lindén, Mikko Kurimo
2023