Tamás Grósz

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 53

Top Topics

Speech Recognition

Experimental Verification

Acoustic Models

Top Venues

Publications

Anne Marte Haug Olstad, Anna Smolander, Sofia Strömbergsson, Sari Ylinen, Minna Lehtonen, Mikko Kurimo, Yaroslav Getman, Tamás Grósz, Xinwei Cao, Torbjørn Svendsen, Giampiero Salvi
Collecting Linguistic Resources for Assessing Children's Pronunciation of Nordic Languages. LREC/COLING (2024)
Anja Virkkunen, Marek Sarvas, Guangpu Huang, Tamás Grósz, Mikko Kurimo
Investigating the Clusters Discovered By Pre-Trained AV-HuBERT. ICASSP (2024)
Dejan Porjazovski, Tamás Grósz, Mikko Kurimo
From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Georgios Karakasidis, Mikko Kurimo, Peter Bell, Tamás Grósz
Comparison and analysis of new curriculum criteria for end-to-end ASR. Speech Commun. 163 (2024)
Aku Rouhe, Tamás Grósz, Mikko Kurimo
Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-Hour Scale. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
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
Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children. IEEE Access 11 (2023)
Yaroslav Getman, Ragheb Al-Ghezi, Tamás Grósz, Mikko Kurimo
Multi-task wav2vec2 Serving as a Pronunciation Training System for Children. SLaTE (2023)
Tamás Grósz, Yaroslav Getman, Ragheb Al-Ghezi, Aku Rouhe, Mikko Kurimo
Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model. INTERSPEECH (2023)
Nhan Phan, Tamás Grósz, Mikko Kurimo
CaptainA - A mobile app for practising Finnish pronunciation. NoDaLiDa (2023)
Dejan Porjazovski, Tamás Grósz, Mikko Kurimo
Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information. CoRR (2023)
Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, Mikko Kurimo
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. CoRR (2023)
Reima Karhila, Sari Ylinen, Anna-Riikka Smolander, Aku Rouhe, Ragheb Al-Ghezi, Yaroslav Getman, Tamás Grósz, Maria Uther, Mikko Kurimo
A pronunciation Scoring System Embedded into Children's Foreign Language Learning Games with Experimental Verification of Learning Benefits. SLaTE (2023)
Tamás Grósz, Anja Virkkunen, Dejan Porjazovski, Mikko Kurimo
Discovering Relevant Sub-spaces of BERT, Wav2Vec 2.0, ELECTRA and ViT Embeddings for Humor and Mimicked Emotion Recognition with Integrated Gradients. MuSe@ACM Multimedia (2023)
Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, Mikko Kurimo
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. ACM Multimedia (2023)
Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Ragheb Al-Ghezi, Mietta Lennes, Tamás Grósz, Krister Lindén, Mikko Kurimo
Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks. Lang. Resour. Evaluation 57 (3) (2023)
Dejan Porjazovski, Tamás Grósz, Mikko Kurimo
Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information. EUSIPCO (2023)
Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen
Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data. DHNB (2022)
Tamás Grósz, Dejan Porjazovski, Yaroslav Getman, Sudarsana Reddy Kadiri, Mikko Kurimo
Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering. ACM Multimedia (2022)
Georgios Karakasidis, Tamás Grósz, Mikko Kurimo
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR. INTERSPEECH (2022)
Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo
End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks. CoRR (2022)
Yaroslav Getman, Ragheb Al-Ghezi, Katja Voskoboinik, Tamás Grósz, Mikko Kurimo, Giampiero Salvi, Torbjørn Svendsen, Sofia Strömbergsson
wav2vec2-based Speech Rating System for Children with Speech Sound Disorder. INTERSPEECH (2022)
Georgios Karakasidis, Tamás Grósz, Mikko Kurimo
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR. CoRR (2022)
Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Tamás Grósz, Krister Lindén, Mikko Kurimo
Lahjoita puhetta - a large-scale corpus of spoken Finnish with some benchmarks. CoRR (2022)
Tamás Grósz, Mikko Kurimo
LSTM-XL: Attention Enhanced Long-Term Memory for LSTM Cells. TDS (2021)
Hemant Kumar Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo
Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children's Speech. INTERSPEECH (2020)
Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo
Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge. CoRR (2020)
Gábor Gosztolya, Tamás Grósz, László Tóth
Social Signal Detection by Probabilistic Sampling DNN Training. IEEE Trans. Affect. Comput. 11 (1) (2020)
Rudolf Ferenc, Dénes Bán, Tamás Grósz, Tibor Gyimóthy
Deep learning in static, metric-based bug prediction. Array 6 (2020)
Tamás Grósz, Mikko Kurimo
Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders. MLVis@Eurographics/EuroVis (2020)
Hemant Kumar Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo
Data augmentation using prosody and false starts to recognize non-native children's speech. CoRR (2020)
Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. IJCNN (2019)
Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó
Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder. CoRR (2019)
Gergely Pap, Gábor Lékó, Tamás Grósz
A Reconstruction-Free Projection Selection Procedure for Binary Tomography Using Convolutional Neural Networks. ICIAR (1) (2019)
László Varga, Attila Kovács, Tamás Grósz, Géza Thury, Flóra Hadarits, Rózsa Dégi, József Dombi
Automatic segmentation of hyperreflective foci in OCT images. Comput. Methods Programs Biomed. 178 (2019)
Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó
Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder. INTERSPEECH (2019)
Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. CoRR (2019)
László Tóth, Gábor Gosztolya, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó
Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces. INTERSPEECH (2018)
Tamás Grósz, Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, Alexandra Markó
F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces. ICASSP (2018)
Péter Bodnár, Tamás Grósz, László Tóth, László G. Nyúl
Efficient visual code localization with neural networks. Pattern Anal. Appl. 21 (1) (2018)
Gábor Gosztolya, Tamás Grósz, László Tóth
General Utterance-Level Feature Extraction for Classifying Crying Sounds, Atypical & Self-Assessed Affect and Heart Beats. INTERSPEECH (2018)
Melinda Katona, Attila Kovács, László Varga, Tamás Grósz, József Dombi, Rózsa Dégi, László G. Nyúl
Automatic Detection and Characterization of Biomarkers in OCT Images. ICIAR (2018)
Tamás Grósz, Gábor Gosztolya, László Tóth
Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling. INTERSPEECH (2017)
Gábor Gosztolya, Róbert Busa-Fekete, Tamás Grósz, László Tóth
DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification. INTERSPEECH (2017)
Tamás Gábor Csapó, Tamás Grósz, Gábor Gosztolya, László Tóth, Alexandra Markó
DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface. INTERSPEECH (2017)
Tamás Grósz, Gábor Gosztolya, László Tóth
A Comparative Evaluation of GMM-Free State Tying Methods for ASR. INTERSPEECH (2017)
Gábor Gosztolya, László Tóth, Tamás Grósz, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Magdolna Pákáski, János Kálmán
Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection. INTERSPEECH (2016)
Gábor Gosztolya, Tamás Grósz, György Szaszák, László Tóth
Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis. INTERSPEECH (2016)
Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth
Determining Native Language and Deception Using Phonetic Features and Classifier Combination. INTERSPEECH (2016)
Gábor Gosztolya, Tamás Grósz, László Tóth
GMM-Free Flat Start Sequence-Discriminative DNN Training. INTERSPEECH (2016)
György Kovács, Tamás Grósz, Tamás Váradi
Topical unit classification using deep neural nets and probabilistic sampling. CogInfoCom (2016)
Gábor Gosztolya, Tamás Grósz, László Tóth
GMM-Free Flat Start Sequence-Discriminative DNN Training. CoRR (2016)
Tamás Grósz, Róbert Busa-Fekete, Gábor Gosztolya, László Tóth
Assessing the degree of nativeness and parkinson's condition using Gaussian processes and deep rectifier neural networks. INTERSPEECH (2015)
Gábor Gosztolya, Tamás Grósz, László Tóth, David Imseng
Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying. ICASSP (2015)
Tamás Grósz, István Nagy T.
Document Classification with Deep Rectifier Neural Networks and Probabilistic Sampling. TSD (2014)
Tamás Grósz, Gábor Gosztolya, László Tóth
A Sequence Training Method for Deep Rectifier Neural Networks in Speech Recognition. SPECOM (2014)
Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth
Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks. INTERSPEECH (2014)
György Kovács, László Tóth, Tamás Grósz
Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features. SPECOM (2014)
Péter Bodnár, Tamás Grósz, László Tóth, László G. Nyúl
Localization of Visual Codes in the DCT Domain Using Deep Rectifier Neural Networks. ANNIIP (2014)
Tamás Grósz, Péter Bodnár, László Tóth, László G. Nyúl
QR code localization using deep neural networks. MLSP (2014)
László Tóth, Tamás Grósz
A Comparison of Deep Neural Network Training Methods for Large Vocabulary Speech Recognition. TSD (2013)