G. Gosztolya

Gábor Gosztolya, José Vicente Egas López, G. Gosztolya, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Narrative recall in relapsing-remitting multiple sclerosis: A potentially useful speech task for detecting subtle cognitive changes

G. Gosztolya, Veronika Svindt, T. E. Gráczi, 2023, Clinical linguistics & phonetics.

Posterior-thresholding feature extraction for paralinguistic speech classification

Gábor Gosztolya, G. Gosztolya, 2019, Knowl. Based Syst..

Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease

L. Tóth, V. Vincze, I. Hoffmann, 2021, CL.

Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks

Róbert Busa-Fekete, Tamás Grósz, László Tóth, 2014, INTERSPEECH.

Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces

Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, 2018, INTERSPEECH.

F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces

Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface

Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, 2017, INTERSPEECH.

Optimizing the Ultrasound Tongue Image Representation for Residual Network-Based Articulatory-to-Acoustic Mapping

Amin Honarmandi Shandiz, L. Tóth, T. Csapó, 2022, Italian National Conference on Sensors.

On the Concept of Correct Hits in Spoken Term Detection

Gábor Gosztolya, G. Gosztolya, 2014, AIC.

Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging pdf

G'abor Gosztolya, Alexandra Mark'o, Amin Honarmandi Shandiz, 2021, 11th ISCA Speech Synthesis Workshop (SSW 11).

Neural Speaker Embeddings for Ultrasound-based Silent Speech Interfaces

Amin Honarmandi Shandiz, Tam'as G'abor Csap'o, L. T'oth, 2021, Interspeech.

Improving Neural Silent Speech Interface Models by Adversarial Training

G'abor Gosztolya, Alexandra Mark'o, Amin Honarmandi Shandiz, 2021, AICV.

Ultrasound-based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis

Tam'as G'abor Csap'o, Csaba Zaink'o, L'aszl'o T'oth, 2020, INTERSPEECH.

Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces

Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Predicting a Cold from Speech Using Fisher Vectors; SVM and XGBoost as Classifiers

Gábor Gosztolya, José Vicente Egas López, G. Gosztolya, 2020, SPECOM.

Assessing Parkinson's Disease from Speech Using Fisher Vectors

Gábor Gosztolya, José Vicente Egas López, Juan Rafael Orozco-Arroyave, 2019, INTERSPEECH.

Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech

Gábor Gosztolya, Ildikó Hoffmann, Anita Bagi, 2018, INTERSPEECH.

Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation

José Vicente Egas López, L. Tóth, I. Hoffmann, 2022, Comput. Speech Lang..

Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features

Gábor Gosztolya, José Vicente Egas López, László Tóth, 2021, Interspeech.

Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection

Gábor Gosztolya, Veronika Vincze, László Tóth, 2016, INTERSPEECH.

The use of speed-up techniques for a speech recognizer system

Gábor Gosztolya, András Kocsor, A. Kocsor, 2006, Int. J. Speech Technol..

A Hierarchical Evaluation Methodology in Speech Recognition

Gábor Gosztolya, András Kocsor, A. Kocsor, 2005, Acta Cybern..

Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech Model

Gábor Gosztolya, László Tóth, András Kocsor, 2004, Acta Cybern..

Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition

Gábor Gosztolya, László Tóth, L. Tóth, 2004, ISNN.

Speeding Up Dynamic Search Methods in Speech Recognition

Gábor Gosztolya, András Kocsor, A. Kocsor, 2005, IEA/AIE.

Improving the Multi-stack Decoding Algorithm in a Segment-Based Speech Recognizer

Gábor Gosztolya, András Kocsor, A. Kocsor, 2003, IEA/AIE.

Various Robust Search Methods in a Hungarian Speech Recognition System

Gábor Gosztolya, László Tóth, András Kocsor, 2003, Acta Cybern..

Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors

José Vicente Egas López, G. Gosztolya, G. Kiss, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio Data

Gábor Gosztolya, László Tóth, L. Tóth, 2019, INTERSPEECH.

Posterior Calibration for Multi-Class Paralinguistic Classification

Gábor Gosztolya, Róbert Busa-Fekete, R. Busa-Fekete, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Calibrating AdaBoost for phoneme classification

Gábor Gosztolya, Róbert Busa-Fekete, R. Busa-Fekete, 2018, Soft Comput..

Using Custom X-vectors for the Automatic Screening of COVID-19 Based on Coughing Audio Samples

José Vicente Egas López, G. Gosztolya, 2023, International Symposium on Applied Computational Intelligence and Informatics.

Extracting Phonetic Posterior-Based Features for Detecting Multiple Sclerosis From Speech

I. Hoffmann, G. Gosztolya, J. Bóna, 2023, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Using Hybrid HMM/DNN Embedding Extractor Models in Computational Paralinguistic Tasks

G. Gosztolya, Mercedes Vetráb, 2023, Sensors.

Social Signal Detection by Probabilistic Sampling DNN Training

Gábor Gosztolya, László Tóth, Tamás Grósz, 2020, IEEE Transactions on Affective Computing.

Differentiating Laughter Types via HMM/DNN and Probabilistic Sampling

Gábor Gosztolya, András Beke, Tilda Neuberger, 2019, SPECOM.

DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification

Róbert Busa-Fekete, Tamás Grósz, László Tóth, 2017, INTERSPEECH.

Using the Fisher Vector Approach for Cold Identification

Gábor Gosztolya, José Vicente Egas López, G. Gosztolya, 2021, Acta Cybern..

Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds

Gábor Gosztolya, G. Gosztolya, 2019, INTERSPEECH.

Using the Fisher Vector Representation for Audio-based Emotion Recognition

Gábor Gosztolya, G. Gosztolya, 2020, Acta Polytechnica Hungarica.

Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis

Gábor Gosztolya, László Tóth, György Szaszák, 2016, INTERSPEECH.

Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts

Gábor Gosztolya, Veronika Vincze, László Tóth, 2016, ACL.

User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning

Gábor Gosztolya, András Beke, György Szaszák, 2018, INTERSPEECH.

Multi-Band Processing With Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition

György Kovács, Gábor Gosztolya, László Tóth, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling

Gábor Gosztolya, László Tóth, Tamás Grósz, 2017, INTERSPEECH.

Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networks

Amin Honarmandi Shandiz, T. Csapó, G. Gosztolya, 2023, INTERSPEECH 2023.

Very Short-Term Conflict Intensity Estimation Using Fisher Vectors

Gábor Gosztolya, G. Gosztolya, 2020, INTERSPEECH.

Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification

Gábor Gosztolya, G. Gosztolya, 2019, INTERSPEECH.

DNN-Based Feature Extraction for Conflict Intensity Estimation From Speech

Gábor Gosztolya, László Tóth, L. Tóth, 2017, IEEE Signal Processing Letters.

Determining Native Language and Deception Using Phonetic Features and Classifier Combination

Róbert Busa-Fekete, Tamás Grósz, László Tóth, 2016, INTERSPEECH.

Using the Logarithmic Generator Function in the Spoken Term Detection Task

Gábor Gosztolya, G. Gosztolya, 2013, MDAI.

Low-complexity audio compression methods for wireless sensors

Laszlo Toth, Gabor Gosztolya, Denes Paczolay, 2010, IEEE 8th International Symposium on Intelligent Systems and Informatics.

Automatic Gain Control algorithms for wireless sensors

Gábor Gosztolya, Dénes Paczolay, László Tóth, 2010, 2010 International Joint Conference on Computational Cybernetics and Technical Informatics.

Aggregation Operators and Hypothesis Space Reductions in Speech Recognition

Gábor Gosztolya, András Kocsor, A. Kocsor, 2004, TSD.

On evaluation metrics for social signal detection

Gábor Gosztolya, G. Gosztolya, 2015, INTERSPEECH.

Applying the Generalized Dombi Operator Family to the Speech Recognition Task

József Dombi, Gábor Gosztolya, András Kocsor, 2009, J. Comput. Inf. Technol..

Speech-Based Screening of Multiple Sclerosis By Features Derived from Self-Supervised Models

G. Gosztolya, José Vicente Egas-López, 2023, 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET).

Automated Multiple Sclerosis Screening Based on Encoded Speech Representations

José Vicente Egas López, I. Hoffmann, G. Gosztolya, 2023, INTERSPEECH.