Improving the Multi-stack Decoding Algorithm in a Segment-Based Speech Recognizer. - Gábor Gosztolya; András Kocsor (IEA/AIE, 2003)

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

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

Aggregation Operators and Hypothesis Space Reductions in Speech Recognition. - Gábor Gosztolya; András Kocsor (TSD, 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)

Speeding Up Dynamic Search Methods in Speech Recognition. - Gábor Gosztolya; András Kocsor (IEA/AIE, 2005)

A Hierarchical Evaluation Methodology in Speech Recognition. - Gábor Gosztolya; András Kocsor (Acta Cybern., 2006)

The use of speed-up techniques for a speech recognizer system. - András Kocsor; Gábor Gosztolya (Int. J. Speech Technol., 2006)

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)

Applying the Generalized Dombi Operator Family to the Speech Recognition Task. - Gábor Gosztolya; József Dombi 001; András Kocsor (J. Comput. Inf. Technol., 2009)

Improving speed and accuracy in automatic speech recognition - Gábor Gosztolya (2010)

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

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

Using the Logarithmic Generator Function in the Spoken Term Detection Task. - Gábor Gosztolya (MDAI, 2013)

On the Concept of Correct Hits in Spoken Term Detection. - Gábor Gosztolya (AIC, 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)

Applying Representative Uninorms for Phonetic Classifier Combination. - Gábor Gosztolya; József Dombi 001 (MDAI, 2014)

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

Conflict intensity estimation from speech using Greedy forward-backward feature selection. - Gábor Gosztolya (INTERSPEECH, 2015)

On evaluation metrics for social signal detection. - Gábor Gosztolya (INTERSPEECH, 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)

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)

Detecting Laughter and Filler Events by Time Series Smoothing with Genetic Algorithms. - Gábor Gosztolya (SPECOM, 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)

Optimized Time Series Filters for Detecting Laughter and Filler Events. - Gábor Gosztolya (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)

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)

Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech. - Gábor Gosztolya; Anita Bagi; Szilvia Szalóki; István Szendi; Ildikó Hoffmann (INTERSPEECH, 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)

User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning. - Máté Ákos Tündik; György Szaszák; Gábor Gosztolya; András Beke (INTERSPEECH, 2018)

Posterior Calibration for Multi-Class Paralinguistic Classification. - Gábor Gosztolya; Róbert Busa-Fekete (SLT, 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 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)

Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds. - Gábor Gosztolya (INTERSPEECH, 2019)

Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification. - Gábor Gosztolya (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)

Assessing Parkinson's Disease from Speech Using Fisher Vectors. - José Vicente Egas López; Juan Rafael Orozco-Arroyave; Gábor Gosztolya (INTERSPEECH, 2019)

Differentiating Laughter Types via HMM/DNN and Probabilistic Sampling. - Gábor Gosztolya; András Beke; Tilda Neuberger (SPECOM, 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)

Posterior-thresholding feature extraction for paralinguistic speech classification. - Gábor Gosztolya (Knowl. Based Syst., 2019)

Calibrating AdaBoost for phoneme classification. - Gábor Gosztolya; Róbert Busa-Fekete (Soft Comput., 2019)

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

Very Short-Term Conflict Intensity Estimation Using Fisher Vectors. - Gábor Gosztolya (INTERSPEECH, 2020)

Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech. - Gábor Gosztolya; Anita Bagi; Szilvia Szalóki; István Szendi; Ildikó Hoffmann (INTERSPEECH, 2020)

Predicting a Cold from Speech Using Fisher Vectors; SVM and XGBoost as Classifiers. - José Vicente Egas López; Gábor Gosztolya (SPECOM, 2020)

Investigating the Corpus Independence of the Bag-of-Audio-Words Approach. - Mercedes Vetráb; Gábor Gosztolya (TDS, 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)

Deep Neural Network Embeddings for the Estimation of the Degree of Sleepiness. - José Vicente Egas López; Gábor Gosztolya (ICASSP, 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)

Using the Fisher Vector Approach for Cold Identification. - José Vicente Egas López; Gábor Gosztolya (Acta Cybern., 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)

Ensemble Bag-of-Audio-Words Representation Improves Paralinguistic Classification Accuracy. - Gábor Gosztolya; Róbert Busa-Fekete (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

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)

Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors. - José Vicente Egas López; Gábor Kiss; Dávid Sztahó; Gábor Gosztolya (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)

Identification of Subjects Wearing a Surgical Mask from Their Speech by Means of X-vectors and Fisher Vectors. - José Vicente Egas López; Gábor Gosztolya (MDAI, 2022)

On the Use of Ensemble X-Vector Embeddings for Improved Sleepiness Detection. - José Vicente Egas López; Róbert Busa-Fekete; Gábor Gosztolya (SPECOM, 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 class priors to improve the detection of social signals in audio data. - Gábor Gosztolya (Eng. Appl. Artif. Intell., 2022)

Estimating the degree of conflict in speech by employing Bag-of-Audio-Words and Fisher Vectors. - Gábor Gosztolya (Expert Syst. Appl., 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)

Speech-Based Screening of Multiple Sclerosis By Features Derived from Self-Supervised Models. - Gábor Gosztolya; José Vicente Egas López (ICECET, 2023)

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)

Automated Multiple Sclerosis Screening Based on Encoded Speech Representations. - José Vicente Egas López; Veronika Svindt; Judit Bóna; Ildikó Hoffmann; Gábor Gosztolya (INTERSPEECH, 2023)

Using Custom X-vectors for the Automatic Screening of COVID-19 Based on Coughing Audio Samples. - José Vicente Egas López; Gábor Gosztolya (SACI, 2023)

Aggregation Strategies of Wav2vec 2.0 Embeddings for Computational Paralinguistic Tasks. - Mercedes Vetráb; Gábor Gosztolya (SPECOM (1), 2023)

Data Augmentation Methods on Ultrasound Tongue Images for Articulation-to-Speech Synthesis. - Ibrahim Ibrahimov; Gábor Gosztolya; Tamás Gábor Csapó (SSW, 2023)

Identifying Subjects Wearing a Mask from the Speech by Means of Encoded Speech Representations. - José Vicente Egas López; Gábor Gosztolya (TSD, 2023)

Using Hybrid HMM/DNN Embedding Extractor Models in Computational Paralinguistic Tasks. - Mercedes Vetráb; Gábor Gosztolya (Sensors, 2023)

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

Automatic Longitudinal Investigation of Multiple Sclerosis Subjects. - Gábor Gosztolya; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (INTERSPEECH, 2024)

Wav2vec 2.0 Embeddings Are No Swiss Army Knife - A Case Study for Multiple Sclerosis. - Gábor Gosztolya; Mercedes Vetráb; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (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)

Conformer-based Ultrasound-to-Speech Conversion. - Ibrahim Ibrahimov; Csaba Zainkó; Gábor Gosztolya (CoRR, 2025)