Learning Phonetic Rules in a Speech Recognition System. - Zoltán Alexin; János Csirik; Tibor Gyimóthy; Márk Jelasity; László Tóth 001 (ILP, 1997)

Optimal Parameters of a Sinusoidal Representation of Signals. - András Kocsor; László Tóth 001; I. Bálint (Acta Cybern., 1999)

A Discriminative Segmental Speech Model and Its Application to Hungarian Number Recognition. - László Tóth 001; András Kocsor; Kornél Kovács (TSD, 2000)

A Comparative Study of Several Feature Transformation and Learning Methods for Phoneme Classification. - András Kocsor; László Tóth 001; András Kuba; Kornél Kovács; Márk Jelasity; Tibor Gyimóthy; János Csirik (Int. J. Speech Technol., 2000)

Application of Feature Transformation and Learning Methods in Phoneme Classification. - András Kocsor; László Tóth 001; László Felföldi (IEA/AIE, 2001)

A Nonlinearized Discriminant Analysis and Its Application to Speech Impediment Therapy. - András Kocsor; László Tóth 001; Dénes Paczolay (TSD, 2001)

Hungarian Speech Synthesis Using a Phase Exact HNM Approach. - Kornél Kovács; András Kocsor; László Tóth 001 (SOFSEM, 2002)

Harmonic alternatives to sine-wave speech. - László Tóth 001; András Kocsor (INTERSPEECH, 2003)

Real-Time Vocal Tract Length Normalization. - Dénes Paczolay; András Kocsor; László Tóth 001 (TSD, 2003)

Various Robust Search Methods in a Hungarian Speech Recognition System. - Gábor Gosztolya; András Kocsor; László Tóth 001 (Acta Cybern., 2003)

Initialization of directions in projection pursuit learning. - Gabor Faddi; András Kocsor; László Tóth 001 (IJCNN, 2004)

Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition. - László Tóth 001; Gábor Gosztolya (ISNN (1), 2004)

Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech Model. - László Tóth 001; András Kocsor; Gábor Gosztolya (Acta Cybern., 2004)

Phonetic Level Annotation and Segmentation of Hungarian Speech Databases. - Gyula Zsigri; András Kocsor; László Tóth 001; Györgyi Sejtes (Acta Cybern., 2004)

Application of Kernel-Based Feature Space Transformations and Learning Methods to Phoneme Classification. - András Kocsor; László Tóth 001 (Appl. Intell., 2004)

Kernel-based feature extraction with a speech technology application. - András Kocsor; László Tóth 001 (IEEE Trans. Signal Process., 2004)

Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling. - László Tóth 001; András Kocsor (ICANN (1), 2005)

Fundamental frequency estimation by least-squares harmonic model fitting. - András Bánhalmi; Kornél Kovács; András Kocsor; László Tóth 001 (INTERSPEECH, 2005)

Explicit Duration Modelling in HMM/ANN Hybrids. - László Tóth 001; András Kocsor (TSD, 2005)

Investigating the robustness of a Hungarian medical dictation system under various conditions. - András Bánhalmi; Dénes Paczolay; László Tóth 001; András Kocsor (Int. J. Speech Technol., 2006)

Benchmarking human performance on the acoustic and linguistic subtasks of ASR systems. - László Tóth 001 (INTERSPEECH, 2007)

A segment-based interpretation of HMM/ANN hybrids. - László Tóth 001; András Kocsor (Comput. Speech Lang., 2007)

Development of a Hungarian Medical Dictation System. - András Bánhalmi; Dénes Paczolay; László Tóth 001; András Kocsor (Informatica (Slovenia), 2007)

Detection of Phoneme Boundaries Using Spiking Neurons. - Gábor Gosztolya; László Tóth 001 (ICAISC, 2008)

Cross-lingual portability of MLP-based tandem features - a case study for English and Hungarian. - László Tóth 001; Joe Frankel; Gábor Gosztolya; Simon King 001 (INTERSPEECH, 2008)

Using One-Class Classification Techniques in the Anti-phoneme Problem. - Gábor Gosztolya; András Bánhalmi; László Tóth 001 (IbPRIA, 2009)

Speech Recognition Experiments with Audiobooks. - László Tóth 001; Balázs Tarján; Gellért Sárosi; Péter Mihajlik (Acta Cybern., 2010)

A hierarchical, context-dependent neural network architecture for improved phone recognition. - László Tóth 001 (ICASSP, 2011)

Spoken term detection from noisy input. - Gábor Gosztolya; György Kovács 001; László Tóth 001 (SACI, 2011)

Phone recognition experiments with 2D-DCT spectro-temporal features. - György Kovács 001; László Tóth 001 (SACI, 2011)

Phone recognition with deep sparse rectifier neural networks. - László Tóth 001 (ICASSP, 2013)

Detecting autism, emotions and social signals using adaboost. - Gábor Gosztolya; Róbert Busa-Fekete; László Tóth 001 (INTERSPEECH, 2013)

Convolutional deep rectifier neural nets for phone recognition. - László Tóth 001 (INTERSPEECH, 2013)

The Joint Optimization of Spectro-Temporal Features and Neural Net Classifiers. - György Kovács 001; László Tóth 001 (TSD, 2013)

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)

Combining time- and frequency-domain convolution in convolutional neural network-based phone recognition. - László Tóth 001 (ICASSP, 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)

Convolutional deep maxout networks for phone recognition. - 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)

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

Modeling long temporal contexts in convolutional neural network-based phone recognition. - László Tóth 001 (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)

Automatic detection of mild cognitive impairment from spontaneous speech using ASR. - László Tóth 001; Gábor Gosztolya; Veronika Vincze; Ildikó Hoffmann; Gréta Szatlóczki; Edit Biró; Fruzsina Zsura; Magdolna Pákáski; János Kálmán (INTERSPEECH, 2015)

Joint Optimization of Spectro-Temporal Features and Deep Neural Nets for Robust Automatic Speech Recognition. - György Kovács 001; László Tóth 001 (Acta Cybern., 2015)

Phone recognition with hierarchical convolutional deep maxout networks. - László Tóth 001 (EURASIP J. Audio Speech Music. Process., 2015)

Selection and enhancement of Gabor filters for automatic speech recognition. - György Kovács 001; László Tóth 001; Dirk Van Compernolle (Int. J. Speech Technol., 2015)

Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts. - Veronika Vincze; Gábor Gosztolya; László Tóth 001; Ildikó Hoffmann; Gréta Szatlóczki; Zoltán Bánréti; Magdolna Pákáski; János Kálmán (ACL (2), 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)

Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Training. - László Tóth 001; Gábor Gosztolya (SPECOM, 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)

Multi-resolution spectral input for convolutional neural network-based speech recognition. - László Tóth 001 (SpeD, 2017)

Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout. - György Kovács 001; László Tóth 001; Dirk Van Compernolle; Sriram Ganapathy (Pattern Recognit. Lett., 2017)

DNN-Based Feature Extraction for Conflict Intensity Estimation From Speech. - Gábor Gosztolya; László Tóth 001 (IEEE Signal Process. Lett., 2017)

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

Multi-Band Processing With Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition. - György Kovács 001; László Tóth 001; Gábor Gosztolya (SLT, 2018)

A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models. - László Tóth 001; György Kovács 001; Dirk Van Compernolle (SPECOM, 2018)

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

A feature selection-based speaker clustering method for paralinguistic tasks. - Gábor Gosztolya; László Tóth 001 (Pattern Anal. Appl., 2018)

Automatic recognition of temporal speech features in type 2 diabetes mellitus with mild cognitive impairment. - Nóra Imre; Réka Balogh; Gábor Gosztolya; László Tóth 001; Tamás Várkonyi; Csaba Lengyel; Magdolna Pákáski; János Kálmán (CogInfoCom, 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)

Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio Data. - Gábor Gosztolya; László Tóth 001 (INTERSPEECH, 2019)

Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition. - György Kovács 001; László Tóth 001; Dirk Van Compernolle; Marcus Liwicki (INTERSPEECH, 2019)

Assessing Alzheimer's Disease from Speech Using the i-vector Approach. - José Vicente Egas López; László Tóth 001; Ildikó Hoffmann; János Kálmán; Magdolna Pákáski; Gábor Gosztolya (SPECOM, 2019)

Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training. - László Tóth 001; Gábor Gosztolya (SPECOM, 2019)

Identifying Mild Cognitive Impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features. - Gábor Gosztolya; Veronika Vincze; László Tóth 001; Magdolna Pákáski; János Kálmán; Ildikó Hoffmann (Comput. Speech Lang., 2019)

3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces. - László Tóth 001; Amin Honarmandi Shandiz (ICAISC (1), 2020)

Mining Hypernyms Semantic Relations from Stack Overflow. - László Tóth 001; Balázs Nagy; Tibor Gyimóthy; László Vidács (ICSE (Workshops), 2020)

Ultrasound-Based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis. - Tamás Gábor Csapó; Csaba Zainkó; László Tóth 001; Gábor Gosztolya; Alexandra Markó (INTERSPEECH, 2020)

Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks. - Gábor Gosztolya; László Tóth 001 (CoRR, 2020)

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

Improving Neural Silent Speech Interface Models by Adversarial Training. - Amin Honarmandi Shandiz; László Tóth 001; Gábor Gosztolya; Alexandra Markó; Tamás Gábor Csapó (AICV, 2021)

Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders. - Yide Yu; Amin Honarmandi Shandiz; László Tóth 001 (EUSIPCO, 2021)

Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features. - José Vicente Egas López; Mercedes Vetráb; László Tóth 001; Gábor Gosztolya (Interspeech, 2021)

Neural Speaker Embeddings for Ultrasound-Based Silent Speech Interfaces. - Amin Honarmandi Shandiz; László Tóth 001; Gábor Gosztolya; Alexandra Markó; Tamás Gábor Csapó (Interspeech, 2021)

Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input. - Tamás Gábor Csapó; László Tóth 001; Gábor Gosztolya; Alexandra Markó (SSW, 2021)

Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging. - Csaba Zainkó; László Tóth 001; Amin Honarmandi Shandiz; Gábor Gosztolya; Alexandra Markó; Géza Németh; Tamás Gábor Csapó (SSW, 2021)

Voice Activity Detection for Ultrasound-Based Silent Speech Interfaces Using Convolutional Neural Networks. - Amin Honarmandi Shandiz; László Tóth 001 (TDS, 2021)

Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech. - Gábor Gosztolya; Réka Balogh; Nóra Imre; José Vicente Egas López; Ildikó Hoffmann; Veronika Vincze; László Tóth 001; Davangere P. Devanand; Magdolna Pákáski; János Kálmán (Comput. Speech Lang., 2021)

Depthwise Convolutions using Physicochemical Features of DNA for Transcription Factor Binding Site Classification: Physicochemical Features for DNA-Protein Classification with Depthwise Convolutions. - Gergely Pap; Krisztian Adam; Zoltan Gyorgypal; László Tóth 001; Zoltan Hegedus (ICAAI, 2022)

Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech. - Gábor Gosztolya; László Tóth 001; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (ICASSP, 2022)

Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment. - Mercedes Vetráb; José Vicente Egas López; Réka Balogh; Nóra Imre; Ildikó Hoffmann; László Tóth 001; Magdolna Pákáski; János Kálmán; Gábor Gosztolya (ICASSP, 2022)

Improved Processing of Ultrasound Tongue Videos by Combining ConvLSTM and 3D Convolutional Networks. - Amin Honarmandi Shandiz; László Tóth 001 (IEA/AIE, 2022)

Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease. - Veronika Vincze; Martina Katalin Szabó; Ildikó Hoffmann; László Tóth 001; Magdolna Pákáski; János Kálmán; Gábor Gosztolya (Comput. Linguistics, 2022)

Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation. - José Vicente Egas López; Réka Balogh; Nóra Imre; Ildikó Hoffmann; Martina Katalin Szabó; László Tóth 001; Magdolna Pákáski; János Kálmán; Gábor Gosztolya (Comput. Speech Lang., 2022)

Optimizing the Ultrasound Tongue Image Representation for Residual Network-Based Articulatory-to-Acoustic Mapping. - Tamás Gábor Csapó; Gábor Gosztolya; László Tóth 001; Amin Honarmandi Shandiz; Alexandra Markó (Sensors, 2022)

Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networks. - László Tóth 001; Amin Honarmandi Shandiz; Gábor Gosztolya; Tamás Gábor Csapó (INTERSPEECH, 2023)

Combining Acoustic Feature Sets for Detecting Mild Cognitive Impairment in the Interspeech'24 TAUKADIAL Challenge. - Gábor Gosztolya; László Tóth 001 (INTERSPEECH, 2024)

Automatic Assessment of Signs of Alcohol Dependency Syndrome from Spontaneous Speech. - Gábor Gosztolya; András Bence Lázár; Ildikó Hoffmann; Otília Bagi; Fruzsina Fanni Farkas; Janka Gajdics; László Tóth 001; János Kálmán (SPECOM (2), 2024)

Investigating the Utility of wav2vec 2.0 Hidden Layers for Detecting Multiple Sclerosis. - Gábor Gosztolya; László Tóth 001; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (SPECOM (1), 2024)

A Systematic Literature Review on Automated Exploit and Security Test Generation. - Quang-Cuong Bui; Emanuele Iannone; Maria Camporese; Torge Hinrichs; Catherine Tony; László Tóth 001; Fabio Palomba; Péter Hegedüs; Fabio Massacci; Riccardo Scandariato (CoRR, 2025)

Improved Dysarthric Speech to Text Conversion via TTS Personalization. - Péter Mihajlik; Éva Székely; Piroska Barta; Mate S. Kadar; Gergely Dobsinszki; László Tóth 001 (CoRR, 2025)