Tamás Grósz
Project Employee
Project Employee
T412 Department of Information and Communications Engineering
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Telefonnummer
+358451711834
Utmärkelser
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
Forskningsgrupp
- Speech Recognition, Project Employee
Publikationer
CaptainA self-study mobile app for practising speaking: task completion assessment and feedback with generative AI
Nhan Phan Chi, Anna von Zansen, Maria Kautonen, Tamás Grósz, Mikko Kurimo
2024
Comparison and analysis of new curriculum criteria for end-to-end ASR
Georgios Karakasidis, Mikko Kurimo, Peter Bell, Tamás Grósz
2024
Speech Communication
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
Automated content assessment and feedback for Finnish L2 learners in a picture description speaking task
Nhan Phan, Anna von Zansen, Maria Kautonen, Ekaterina Voskoboinik, Tamas Grosz, Raili Hilden, Mikko Kurimo
2024
Proceedings of the Interspeech 2024
From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques
Dejan Porjazovski, Tamas Grosz, Mikko Kurimo
2024
IEEE/ACM Transactions on Audio Speech and Language Processing
Improved Spoken Emotion Recognition With Combined Segment-Based Processing And Triplet Loss
Dejan Porjazovski, Tamás Grósz, Mikko Kurimo
2024
Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-hour Scale
Aku Rouhe, Tamás Grósz, Mikko Kurimo
2024
IEEE/ACM Transactions on Audio, Speech, and Language Processing
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
Clinical Linguistics and Phonetics
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
IEEE Access