A Comparison of Deep Neural Network Training Methods for Large Vocabulary Speech Recognition. - László Tóth 001; Tamás Grósz (TSD, 2013)

Localization of Visual Codes in the DCT Domain Using Deep Rectifier Neural Networks. - Péter Bodnár; Tamás Grósz; László Tóth 001; László G. Nyúl (ANNIIP, 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 001 (INTERSPEECH, 2014)

QR code localization using deep neural networks. - Tamás Grósz; Péter Bodnár; László Tóth 001; László G. Nyúl (MLSP, 2014)

A Sequence Training Method for Deep Rectifier Neural Networks in Speech Recognition. - Tamás Grósz; Gábor Gosztolya; László Tóth 001 (SPECOM, 2014)

Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features. - György Kovács 001; László Tóth 001; Tamás Grósz (SPECOM, 2014)

Document Classification with Deep Rectifier Neural Networks and Probabilistic Sampling. - Tamás Grósz; István Nagy T. (TSD, 2014)

Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying. - Gábor Gosztolya; Tamás Grósz; László Tóth 001; David Imseng (ICASSP, 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 001 (INTERSPEECH, 2015)

Topical unit classification using deep neural nets and probabilistic sampling. - György Kovács 001; Tamás Grósz; Tamás Váradi (CogInfoCom, 2016)

Determining Native Language and Deception Using Phonetic Features and Classifier Combination. - Gábor Gosztolya; Tamás Grósz; Róbert Busa-Fekete; László Tóth 001 (INTERSPEECH, 2016)

Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis. - Gábor Gosztolya; Tamás Grósz; György Szaszák; László Tóth 001 (INTERSPEECH, 2016)

GMM-Free Flat Start Sequence-Discriminative DNN Training. - Gábor Gosztolya; Tamás Grósz; László Tóth 001 (INTERSPEECH, 2016)

Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection. - Gábor Gosztolya; László Tóth 001; Tamás Grósz; Veronika Vincze; Ildikó Hoffmann; Gréta Szatlóczki; Magdolna Pákáski; János Kálmán (INTERSPEECH, 2016)

DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface. - Tamás Gábor Csapó; Tamás Grósz; Gábor Gosztolya; László Tóth 001; Alexandra Markó (INTERSPEECH, 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 001 (INTERSPEECH, 2017)

Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling. - Tamás Grósz; Gábor Gosztolya; László Tóth 001 (INTERSPEECH, 2017)

A Comparative Evaluation of GMM-Free State Tying Methods for ASR. - Tamás Grósz; Gábor Gosztolya; László Tóth 001 (INTERSPEECH, 2017)

F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces. - Tamás Grósz; Gábor Gosztolya; László Tóth 001; Tamás Gábor Csapó; Alexandra Markó (ICASSP, 2018)

Automatic Detection and Characterization of Biomarkers in OCT Images. - Melinda Katona; Attila Kovács; László Varga 001; Tamás Grósz; József Dombi 001; Rózsa Dégi; László G. Nyúl (ICIAR, 2018)

General Utterance-Level Feature Extraction for Classifying Crying Sounds, Atypical & Self-Assessed Affect and Heart Beats. - Gábor Gosztolya; Tamás Grósz; László Tóth 001 (INTERSPEECH, 2018)

Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces. - László Tóth 001; Gábor Gosztolya; Tamás Grósz; Alexandra Markó; Tamás Gábor Csapó (INTERSPEECH, 2018)

Efficient visual code localization with neural networks. - Péter Bodnár; Tamás Grósz; László Tóth 001; László G. Nyúl (Pattern Anal. Appl., 2018)

Training Methods for Deep Neural Network-Based Acoustic Models in Speech Recognition - Tamás Grósz (2018)

Using Deep Rectifier Neural Nets and Probabilistic Sampling for Topical Unit Classification. - György Kovács 001; Tamás Grósz; Tamás Váradi (Cognitive Infocommunications, Theory and Applications, 2019)

A Reconstruction-Free Projection Selection Procedure for Binary Tomography Using Convolutional Neural Networks. - Gergely Pap; Gábor Lékó; Tamás Grósz (ICIAR (1), 2019)

Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. - Gábor Gosztolya; Ádám Pintér; László Tóth 001; Tamás Grósz; Alexandra Markó; Tamás Gábor Csapó (IJCNN, 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 001; Alexandra Markó (INTERSPEECH, 2019)

Automatic segmentation of hyperreflective foci in OCT images. - László Varga 001; Attila Kovács; Tamás Grósz; Géza Thury; Flóra Hadarits; Rózsa Dégi; József Dombi 001 (Comput. Methods Programs Biomed., 2019)

Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children's Speech. - Hemant Kumar Kathania; Mittul Singh; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2020)

Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders. - Tamás Grósz; Mikko Kurimo (MLVis@Eurographics/EuroVis, 2020)

Deep learning in static, metric-based bug prediction. - Rudolf Ferenc; Dénes Bán; Tamás Grósz; Tibor Gyimóthy (Array, 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)

Social Signal Detection by Probabilistic Sampling DNN Training. - Gábor Gosztolya; Tamás Grósz; László Tóth 001 (IEEE Trans. Affect. Comput., 2020)

LSTM-XL: Attention Enhanced Long-Term Memory for LSTM Cells. - Tamás Grósz; Mikko Kurimo (TDS, 2021)

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 (DHNB, 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 (INTERSPEECH, 2022)

Comparison and Analysis of New Curriculum Criteria for End-to-End ASR. - Georgios Karakasidis; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2022)

Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering. - Tamás Grósz; Dejan Porjazovski; Yaroslav Getman; Sudarsana Reddy Kadiri; Mikko Kurimo (ACM Multimedia, 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)

End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks. - Tamás Grósz; Mittul Singh; Sudarsana Reddy Kadiri; Hemant Kumar Kathania; Mikko Kurimo (CoRR, 2022)

Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information. - Dejan Porjazovski; Tamás Grósz; Mikko Kurimo (EUSIPCO, 2023)

Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model. - Tamás Grósz; Yaroslav Getman; Ragheb Al-Ghezi; Aku Rouhe; Mikko Kurimo (INTERSPEECH, 2023)

Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. - Dejan Porjazovski; Yaroslav Getman; Tamás Grósz; Mikko Kurimo (ACM Multimedia, 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 (MuSe@ACM Multimedia, 2023)

CaptainA - A mobile app for practising Finnish pronunciation. - Nhan Phan; Tamás Grósz; Mikko Kurimo (NoDaLiDa, 2023)

Multi-task wav2vec2 Serving as a Pronunciation Training System for Children. - Yaroslav Getman; Ragheb Al-Ghezi; Tamás Grósz; Mikko Kurimo (SLaTE, 2023)

A pronunciation Scoring System Embedded into Children's Foreign Language Learning Games with Experimental Verification of Learning Benefits. - Reima Karhila; Sari Ylinen; Anna-Riikka Smolander; Aku Rouhe; Ragheb Al-Ghezi; Yaroslav Getman; Tamás Grósz; Maria Uther; Mikko Kurimo (SLaTE, 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)

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, 2023)

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; Tamás Grósz; Xinwei Cao; Torbjørn Svendsen; Giampiero Salvi (LREC/COLING, 2024)

Investigating the Clusters Discovered By Pre-Trained AV-HuBERT. - Anja Virkkunen; Marek Sarvas; Guangpu Huang; Tamás Grósz; Mikko Kurimo (ICASSP, 2024)

Exploring adaptation techniques of large speech foundation models for low-resource ASR: a case study on Northern Sámi. - Yaroslav Getman; Tamás Grósz; Katri Hiovain-Asikainen; Mikko Kurimo (INTERSPEECH, 2024)

What happens in continued pre-training? Analysis of self-supervised speech models with continued pre-training for colloquial Finnish ASR. - Yaroslav Getman; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2024)

Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data. - Tin Mei Lun; Ekaterina Voskoboinik; Ragheb Al-Ghezi; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2024)

CaptainA self-study mobile app for practising speaking: task completion assessment and feedback with generative AI. - Nhan Phan; Anna von Zansen; Maria Kautonen; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2024)

Automated content assessment and feedback for Finnish L2 learners in a picture description speaking task. - Nhan Phan; Anna von Zansen; Maria Kautonen; Ekaterina Voskoboinik; Tamás Grósz; Raili Hildén; Mikko Kurimo (INTERSPEECH, 2024)

Multimodal Humor Detection and Social Perception Prediction. - Mehedi Hasan Bijoy; Dejan Porjazovski; Nhan Phan; Guangpu Huang; Tamás Grósz; Mikko Kurimo (MuSe@ACM Multimedia, 2024)

Comparison and analysis of new curriculum criteria for end-to-end ASR. - Georgios Karakasidis; Mikko Kurimo; Peter Bell 001; Tamás Grósz (Speech Commun., 2024)

From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques. - Dejan Porjazovski; Tamás Grósz; Mikko Kurimo (IEEE ACM Trans. Audio Speech Lang. Process., 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)

Non-native Children's Automatic Speech Assessment Challenge (NOCASA). - Yaroslav Getman; Tamás Grósz; Mikko Kurimo; Giampiero Salvi (CoRR, 2025)

Mispronunciation Detection Without L2 Pronunciation Dataset in Low-Resource Setting: A Case Study in Finland Swedish. - Nhan Phan; Mikko Kuronen; Maria Kautonen; Riikka Ullakonoja; Anna von Zansen; Yaroslav Getman; Ekaterina Voskoboinik; Tamás Grósz; Mikko Kurimo (CoRR, 2025)

Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition. - Mehedi Hasan Bijoy; Dejan Porjazovski; Tamás Grósz; Mikko Kurimo (CoRR, 2025)

One Whisper to Grade Them All. - Nhan Phan; Anusha Porwal; Yaroslav Getman; Ekaterina Voskoboinik; Tamás Grósz; Mikko Kurimo (CoRR, 2025)