Tamás Grósz
Cited by
Cited by
DNN-based ultrasound-to-speech conversion for a silent speech interface
TG Csapó, T Grósz, G Gosztolya, L Tóth, A Markó
International Speech Communication Association (ISCA), 2017
Assessing the degree of nativeness and Parkinson's condition using Gaussian processes and deep rectifier neural networks
T Grósz, R Busa-Fekete, G Gosztolya, L Tóth
Interspeech, 919-923, 2015
A comparison of deep neural network training methods for large vocabulary speech recognition
L Tóth, T Grósz
Text, Speech, and Dialogue: 16th International Conference, TSD 2013, Pilsen …, 2013
Detecting mild cognitive impairment from spontaneous speech by correlation-based phonetic feature selection
G Gosztolya, L Tóth, T Grósz, V Vincze, I Hoffmann, G Szatlóczki, ...
Interspeech, 107-111, 2016
DNN-based feature extraction and classifier combination for child-directed speech, cold and snoring identification
G Gosztolya, R Busa-Fekete, T Grósz, L Tóth
International Speech Communication Association (ISCA), 2017
Deep learning in static, metric-based bug prediction
R Ferenc, D Bán, T Grósz, T Gyimóthy
Array 6, 100021, 2020
Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces
L Tóth, G Gosztolya, T Grósz, A Markó, TG Csapó
Interspeech, 2018
F0 estimation for DNN-based ultrasound silent speech interfaces
T Grósz, G Gosztolya, L Tóth, TG Csapó, A Markó
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Automatic segmentation of hyperreflective foci in OCT images
L Varga, A Kovács, T Grósz, G Thury, F Hadarits, R Dégi, J Dombi
Computer Methods and Programs in Biomedicine 178, 91-103, 2019
Detecting the intensity of cognitive and physical load using AdaBoost and Deep Rectifier Neural Networks
G Gosztolya, T Grósz, R Busa-Fekete, L Tóth
Fifteenth Annual Conference of the International Speech Communication …, 2014
QR code localization using deep neural networks
T Grósz, P Bodnár, L Tóth, LG Nyúl
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
Wav2vec2-based paralinguistic systems to recognise vocalised emotions and stuttering
T Grósz, D Porjazovski, Y Getman, S Kadiri, M Kurimo
Proceedings of the 30th ACM International Conference on Multimedia, 7026-7029, 2022
Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder
TG Csapó, MS Al-Radhi, G Németh, G Gosztolya, T Grósz, L Tóth, ...
Interspeech, 2019
wav2vec2-based Speech Rating System for Children with Speech Sound Disorder
Y Getman, R Al-Ghezi, E Voskoboinik, T Grósz, M Kurimo, G Salvi, ...
Proc. Interspeech 2022, 3618-3622, 2022
General utterance-level feature extraction for classifying crying sounds, atypical & self-assessed affect and heart beats
G Gosztolya, T Grósz, L Tóth
International Speech Communication Association (ISCA), 2018
Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
A Moisio, D Porjazovski, A Rouhe, Y Getman, A Virkkunen, R AlGhezi, ...
Language Resources and Evaluation 57 (3), 1295-1327, 2023
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces
G Gosztolya, Á Pintér, L Tóth, T Grósz, A Markó, TG Csapó
IJCNN, 2019
Determining native language and deception using phonetic features and classifier combination
G Gosztolya, T Grósz, R Busa-Fekete, L Tóth
Interspeech, 2418-2422, 2016
Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying
G Gosztolya, T Grósz, L Tóth, D Imseng
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
Topical unit classification using deep neural nets and probabilistic sampling
G Kovács, T Grósz, T Váradi
2016 7th IEEE International Conference on Cognitive Infocommunications …, 2016
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