Tamás Grósz

According to our database, Tamás Grósz authored at least 48 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Aku Rouhe, Tamás Grósz, Mikko Kurimo

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks.

Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Ragheb Al-Ghezi, Mietta Lennes, Tamás Grósz, Krister Lindén, Mikko Kurimo

Lang. Resour. Evaluation, September, 2023

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children.

Yaroslav Getman, Nhan Phan, Ragheb Al-Ghezi, Ekaterina Voskoboinik, Mittul Singh, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson, Anna-Riikka Smolander, Sari Ylinen

IEEE Access, 2023

CaptainA - A mobile app for practising Finnish pronunciation.

Nhan Phan, Tamás Grósz, Mikko Kurimo

Proceedings of the 24th Nordic Conference on Computational Linguistics, 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

Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023

Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference.

Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, Mikko Kurimo

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information.

Dejan Porjazovski, Tamás Grósz, Mikko Kurimo

Proceedings of the 31st European Signal Processing Conference, 2023

2022

End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks.

Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo

CoRR, 2022

Lahjoita puhetta - a large-scale corpus of spoken Finnish with some benchmarks.

Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Tamás Grósz, Krister Lindén, Mikko Kurimo

CoRR, 2022

Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering.

Tamás Grósz, Dejan Porjazovski, Yaroslav Getman, Sudarsana Reddy Kadiri, Mikko Kurimo

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Comparison and Analysis of New Curriculum Criteria for End-to-End ASR.

Georgios Karakasidis, Tamás Grósz, Mikko Kurimo

Proceedings of the Interspeech 2022, 2022

wav2vec2-based Speech Rating System for Children with Speech Sound Disorder.

Yaroslav Getman, Ragheb Al-Ghezi, Katja Voskoboinik, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson

Proceedings of the Interspeech 2022, 2022

Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data.

Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen

Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), 2022

2021

LSTM-XL: Attention Enhanced Long-Term Memory for LSTM Cells.

Tamás Grósz, Mikko Kurimo

Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

2020

Social Signal Detection by Probabilistic Sampling DNN Training.

Gábor Gosztolya, Tamás Grósz, László Tóth

IEEE Trans. Affect. Comput., 2020

Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge.

Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo

CoRR, 2020

Deep learning in static, metric-based bug prediction.

Rudolf Ferenc, Dénes Bán, Tamás Grósz, Tibor Gyimóthy

Array, 2020

Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders.

Tamás Grósz, Mikko Kurimo

Proceedings of the 3rd Workshop on Machine Learning Methods in Visualisation for Big Data, 2020

Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children's Speech.

Hemant Kumar Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo

Proceedings of the Interspeech 2020, 2020

2019

Automatic segmentation of hyperreflective foci in OCT images.

László Varga, Attila Kovács, Tamás Grósz, Géza Thury, Flóra Hadarits, Rózsa Dégi, József Dombi

Comput. Methods Programs Biomed., 2019

Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder.

Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó

Proceedings of the Interspeech 2019, 2019

Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces.

Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó

Proceedings of the International Joint Conference on Neural Networks, 2019

A Reconstruction-Free Projection Selection Procedure for Binary Tomography Using Convolutional Neural Networks.

Gergely Pap, Gábor Lékó, Tamás Grósz

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Using Deep Rectifier Neural Nets and Probabilistic Sampling for Topical Unit Classification.

György Kovács, Tamás Grósz, Tamás Váradi

Proceedings of the Cognitive Infocommunications, Theory and Applications, 2019

2018

Training Methods for Deep Neural Network-Based Acoustic Models in Speech Recognition

Tamás Grósz

PhD thesis, 2018

Efficient visual code localization with neural networks.

Péter Bodnár, Tamás Grósz, László Tóth, László G. Nyúl

Pattern Anal. Appl., 2018

Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces.

László Tóth, Gábor Gosztolya, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó

Proceedings of the Interspeech 2018, 2018

General Utterance-Level Feature Extraction for Classifying Crying Sounds, Atypical & Self-Assessed Affect and Heart Beats.

Gábor Gosztolya, Tamás Grósz, László Tóth

Proceedings of the Interspeech 2018, 2018

Automatic Detection and Characterization of Biomarkers in OCT Images.

Melinda Katona, Attila Kovács, László Varga, Tamás Grósz, József Dombi, Rózsa Dégi, László G. Nyúl

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces.

Tamás Grósz, Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, Alexandra Markó

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

A Comparative Evaluation of GMM-Free State Tying Methods for ASR.

Tamás Grósz, Gábor Gosztolya, László Tóth

Proceedings of the Interspeech 2017, 2017

Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling.

Tamás Grósz, Gábor Gosztolya, László Tóth

Proceedings of the Interspeech 2017, 2017

DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification.

Gábor Gosztolya, Róbert Busa-Fekete, Tamás Grósz, László Tóth

Proceedings of the Interspeech 2017, 2017

DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface.

Tamás Gábor Csapó, Tamás Grósz, Gábor Gosztolya, László Tóth, Alexandra Markó

Proceedings of the Interspeech 2017, 2017

2016

Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection.

Gábor Gosztolya, László Tóth, Tamás Grósz, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Magdolna Pákáski, János Kálmán

Proceedings of the Interspeech 2016, 2016

GMM-Free Flat Start Sequence-Discriminative DNN Training.

Gábor Gosztolya, Tamás Grósz, László Tóth

Proceedings of the Interspeech 2016, 2016

Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis.

Gábor Gosztolya, Tamás Grósz, György Szaszák, László Tóth

Proceedings of the Interspeech 2016, 2016

Determining Native Language and Deception Using Phonetic Features and Classifier Combination.

Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth

Proceedings of the Interspeech 2016, 2016

Topical unit classification using deep neural nets and probabilistic sampling.

György Kovács, Tamás Grósz, Tamás Váradi

Proceedings of the 7th IEEE International Conference on Cognitive Infocommunications, 2016

2015

Assessing the degree of nativeness and parkinson's condition using Gaussian processes and deep rectifier neural networks.

Tamás Grósz, Róbert Busa-Fekete, Gábor Gosztolya, László Tóth

Proceedings of the INTERSPEECH 2015, 2015

Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying.

Gábor Gosztolya, Tamás Grósz, László Tóth, David Imseng

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Document Classification with Deep Rectifier Neural Networks and Probabilistic Sampling.

Tamás Grósz, István Nagy T.

Proceedings of the Text, Speech and Dialogue - 17th International Conference, 2014

Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features.

György Kovács, László Tóth, Tamás Grósz

Proceedings of the Speech and Computer - 16th International Conference, 2014

A Sequence Training Method for Deep Rectifier Neural Networks in Speech Recognition.

Tamás Grósz, Gábor Gosztolya, László Tóth

Proceedings of the Speech and Computer - 16th International Conference, 2014

QR code localization using deep neural networks.

Tamás Grósz, Péter Bodnár, László Tóth, László G. Nyúl

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks.

Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth

Proceedings of the INTERSPEECH 2014, 2014

Localization of Visual Codes in the DCT Domain Using Deep Rectifier Neural Networks.

Péter Bodnár, Tamás Grósz, László Tóth, László G. Nyúl

Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing, 2014

2013

A Comparison of Deep Neural Network Training Methods for Large Vocabulary Speech Recognition.

László Tóth, Tamás Grósz

Proceedings of the Text, Speech, and Dialogue - 16th International Conference, 2013