Ihmiset

Tamás Grósz

Project Employee

T412 Department of Information and Communications Engineering

Full researcher profile

https://research.aalto.fi/...

Sähköposti

[email protected]

Puhelinnumero

+358451711834

Palkinnot

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

Tutkimusryhmät

Speech Recognition, Project Employee

Julkaisut

Multimodal Humor Detection and Social Perception Prediction

Mehedi Hasan Bijoy, Dejan Porjazovski, Nhan Phan, Guangpu Huang, Tamás Grósz, Mikko Kurimo 2024 MuSe 2024 - Proceedings of the 5th Multimodal Sentiment Analysis Challenge and Workshop

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

Tamás Grósz

Palkinnot

The ACM Multimedia 2023 Computational Paralinguistics Challenge Prize

Tutkimusryhmät

Julkaisut

Multimodal Humor Detection and Social Perception Prediction

CaptainA self-study mobile app for practising speaking: task completion assessment and feedback with generative AI

Comparison and analysis of new curriculum criteria for end-to-end ASR

Collecting Linguistic Resources for Assessing Children's Pronunciation of Nordic Languages

Automated content assessment and feedback for Finnish L2 learners in a picture description speaking task

From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques

Improved Spoken Emotion Recognition With Combined Segment-Based Processing And Triplet Loss

Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-hour Scale

Listening like a speech-training app: Expert and non-expert listeners’ goodness ratings of children’s speech

INVESTIGATING THE CLUSTERS DISCOVERED BY PRE-TRAINED AV-HUBERT