Gábor Gosztolya, PhD

Journal articles (selected)

Egas-López, J.V., Balogh, R., Imre, N., Hoffmann, I., Szabó, M.K., Tóth, L., Pákáski, M., Kálmán, J., Gosztolya, G.: Automatic Screening of Mild Cognitive Impairment and Alzheimer's Disease by Means of Posterior-Thresholding Hesitation Representation, Computer, Speech & Language, Vol. 75, article no. 101377, 2022. PDF BibTeX

Gosztolya, G.: Optimizing Class Priors to Improve the Detection of Social Signals in Audio Data, Engineering Applications of Artificial Intelligence, Vol. 107, article no. 104541, 2022. PDF BibTeX

Gosztolya, G.: Estimating the Degree of Conflict in Speech by Employing Bag-of-Audio-Words and Fisher Vectors, Expert Systems with Applications, Vol. 205, article no. 117613, 2022. PDF BibTeX

Balogh, R., Imre, N., Gosztolya, G., Hoffmann, I., Pákáski, M., Kálmán, J.: The Role of Silence in Verbal Fluency Tasks -- A New Approach for the Detection of Mild Cognitive Impairment, Journal of the International Neuropsychological Society, accepted, 2022. PDF BibTeX

Imre, N., Balogh, R., Gosztolya, G., Tóth, L., Hoffmann, I., Várkonyi, T., Lengyel, Cs., Pákáski, M., Kálmán, J.: Temporal Speech Parameters Indicate Early Cognitive Decline in Elderly Patients With Type 2 Diabetes Mellitus, Alzheimer Disease & Associated Disorders, Vol. 36, No. 2, pp. 148-155, 2022. PDF BibTeX

Vincze, N., Szabó, M.K., Hoffmann, I., Tóth, L., Pákáski, M., Kálmán, J., Gosztolya, G.: Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease, Computational Linguistics, Vol. 48, No. 1, pp. 119-153, 2022. PDF BibTeX

Kálmán, J., Devanand, D.P., Gosztolya, G., Balogh, R., Imre, N., Tóth, L., Hoffmann, I., Kovács, I., Vincze, V., Pákáski, M.: Temporal Speech Parameters Detect Mild Cognitive Impairment in Different Languages: Validation and Comparison of the Speech-GAP Test® in English and Hungarian, Current Alzheimer Research, Vol. 19, No. 5, pp. 373--386, 2022. PDF BibTeX

Gosztolya, G., Busa-Fekete, R.: Ensemble Bag-of-Audio-Words Representation Improves Paralinguistic Classification Accuracy, IEEE/ACM Transactions on Audio Speech and Language Processing, Vol. 29, pp. 477-488, 2021. PDF BibTeX

Gosztolya, G., Balogh, R., Imre, N., Egas-López, J.V., Hoffmann, I., Vincze, V., Tóth, L., Devanand, D.P., Pákáski, M., Kálmán, J.: Cross-Lingual Detection of Mild Cognitive Impairment Based On Temporal Parameters of Spontaneous Speech, Computer, Speech & Language, Vol. 69, article no. 101215, 2021. PDF BibTeX

Vincze, V., Szatlóczki, G., Tóth, L., Gosztolya, G., Pákáski, M., Hoffmann, I., Kálmán, J.: Telltale silence: temporal speech parameters discriminate between prodromal dementia and mild Alzheimer’s disease, Clinical Linguistics & Phonetics, Vol. 35, No. 8, pp. 727-742, 2021. PDF BibTeX

Gosztolya, G., Grósz, T., Tóth, L.: Social Signal Detection by Probabilistic Sampling DNN Training, IEEE Transactions on Affective Computing, Vol. 10, No. 1, pp. 164-178, 2020. PDF BibTeX

Gosztolya, G., Grósz, T., Tóth, L., Markó, A., Csapó, T.G.: Applying DNN Adaptation to Reduce the Session Dependency of Ultrasound Tongue Imaging-based Silent Speech Interfaces, Acta Polytechnica Hungarica, Vol. 17, No. 7, pp. 109-124, 2020. PDF BibTeX

Gosztolya, G.: Using the Fisher Vector Representation for Audio-based Emotion Recognition, Acta Polytechnica Hungarica, Vol. 17, No. 6, pp. 7-23, 2020. PDF BibTeX

Gosztolya, G.: Posterior-Thresholding Feature Extraction for Paralinguistic Speech Classification, Knowledge-Based Systems, Vol. 186, article no. 104943, 2019. PDF BibTeX

Gosztolya, G., Vincze, V., Tóth, L., Pákáski, M., Kálmán, J., Hoffmann, I.: Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features, Computer, Speech & Language, Vol. 53, pp. 181-197, 2019. PDF BibTeX

Gosztolya, G., Busa-Fekete, R.: Calibrating AdaBoost for Phoneme Classification, Soft Computing, Vol. 23, No. 1, pp. 115-128, 2019. PDF BibTeX

Tóth, L., Hoffmann, I., Gosztolya, G., Vincze, V., Szatlóczki, G., Bánréti, Z., Pákáski, M., Kálmán, J.: A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech, Current Alzheimer Research, Vol. 15, No. 2, pp. 130-138, 2018. PDF BibTeX

Gosztolya, G., Tóth, L.: A Feature Selection-Based Clustering Method for Paralinguistic Tasks, Pattern Analysis and Applications, Vol. 21, No. 1, pp. 193-204, 2018. PDF BibTeX

Gosztolya, G., Tóth, L.: DNN-based Feature Extraction for Conflict Intensity Estimation from Speech, IEEE Signal Processing Letters, Vol. 24, No. 12, pp. 1837-1841, 2017. PDF BibTeX

Conference papers (selected)

Gosztolya, G., Tóth, L., Svindt, V., Bóna, J., Hoffmann, I.: Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech, Proceedings of ICASSP, pp. 6927-6931, Singapore, 2022. PDF BibTeX

Egas-López, J.V., Kiss, G., Sztahó, D., Gosztolya, G.: Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors, Proceedings of ICASSP, pp. 8502-8506, Singapore, 2022. PDF BibTeX

Vetráb, M., Egas-López, J.V., Balogh, R., Imre, N., Hoffmann, I., Tóth, L., Pákáski, M., Kálmán, J., Gosztolya, G.: Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment, Proceedings of ICASSP, pp. 6467-6471, Singapore, 2022. PDF BibTeX

Shandiz, A.H., Tóth, L., Gosztolya, G., Markó, A., Csapó, T.G.: Neural Speaker Embeddings for Ultrasound-Based Silent Speech Interfaces, Proceedings of Interspeech, pp. 1932-1936, Brno, Czech Republic, 2021. PDF BibTeX

Egas-López, J.V., Vetráb, M., Tóth, L., Gosztolya, G.: Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features, Proceedings of Interspeech, pp. 476-480, Brno, Czech Republic, 2021. PDF BibTeX

Egas-López, J.V., Gosztolya, G.: Deep Neural Network Embeddings for the Estimation of the Degree of Sleepiness, Proceedings of ICASSP, article no. SPE-57.4, Toronto, Canada (online), 2021. PDF BibTeX

Gosztolya, G.: Very Short-Term Conflict Intensity Estimation Using Fisher Vectors, Proceedings of Interspeech, pp. 3127-3131, Shanghai, China (online), 2020. PDF BibTeX

Csapó, T.G., Zainkó, Cs., Tóth, L., Gosztolya, G., Markó, A.: Ultrasound-Based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis, Proceedings of Interspeech, pp. 2727-2731, Shanghai, China (online), 2020. PDF BibTeX

Gosztolya, G., Bagi, A., Szalóki, Sz., Szendi, I., Hoffmann, I.: Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech, Proceedings of Interspeech, pp. 4566-4570, Shanghai, China (online), 2020. PDF BibTeX

Gosztolya, G.: Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification, Proceedings of Interspeech, pp. 2413-2417, Graz, Austria, 2019. PDF BibTeX

Gosztolya, G., Tóth, L.: Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection From Audio Data, Proceedings of Interspeech, pp. 515-519, Graz, Austria, 2019. PDF BibTeX

Gosztolya, G.: Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds, Proceedings of Interspeech, pp. 2413-2417, Graz, Austria, 2019. PDF BibTeX

Egas López, J.V., Orozco-Arroyave, J.R., Gosztolya, G.: Assessing Parkinson's Disease From Speech Using Fisher Vectors, Proceedings of Interspeech, pp. 3063-3067, Graz, Austria, 2019. PDF BibTeX

Csapó, T.G., Al-Rahdi, M., Németh, G., Gosztolya, G., Grósz, T., Tóth, L., Markó, A.: Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder, Proceedings of Interspeech, pp. 894-898, Graz, Austria, 2019. PDF BibTeX

Tóth, L., Gosztolya, G.: Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training, Proceedings of SPECOM, pp. 481-490, Instanbul, Turkey, 2019. PDF BibTeX

Gosztolya, G., Pintér, Á., Tóth, L., Grósz, T., Markó, A., Csapó, T.G.: Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces, Proceedings of IJCNN, article no. N-20143, Budapest, Hungary, 2019. PDF BibTeX

Kovács, Gy., Tóth, L., Gosztolya, G.: Multi-Band Processing with Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition, Proceedings of SLT, pp. 242-249, Athens, Greece, 2018. PDF BibTeX

Gosztolya, G., Busa-Fekete, R.: Posterior Calibration for Multi-Class Paralinguistic Classification, Proceedings of SLT, pp. 119-125, Athens, Greece, 2018. PDF BibTeX

Tündik, M.Á., Szaszák, Gy., Gosztolya, G., Beke, A. : User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning, Proceedings of Interspeech, pp. 2628-2632, Hyderabad, India, 2018. PDF BibTeX

Gosztolya, G., Bagi, A., Szalóki, Sz., Szendi, I., Hoffmann, I.: Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech, Proceedings of Interspeech, pp. 3408-3412, Hyderabad, India, 2018. PDF BibTeX

Tóth, L., Gosztolya, G., Grósz, T., Markó, A., Csapó, T.G.: Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces, Proceedings of Interspeech, pp. 3172-3176, Hyderabad, India, 2018. PDF BibTeX

Gosztolya, G., Grósz, T., Tóth, L.: General Utterance-Level Feature Extraction for Classifying Crying Sounds, Atypical & Self-Assessed Affect and Heart Beats, Proceedings of Interspeech, pp. 531-535, Hyderabad, India, 2018. PDF BibTeX

Grósz, T., Gosztolya, G., Tóth, L., Csapó, T.G., Markó, A.: F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces, Proceedings of ICASSP, pp. 291-295, Calgary, Alberta, Canada, 2018. PDF BibTeX

Gosztolya, G., Busa-Fekete, R., Grósz, T., Tóth, L.: DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification, Proceedings of Interspeech, pp. 3522-3526, Stockholm, Sweden, 2017. PDF BibTeX

Csapó, T. G., Grósz, T., Gosztolya, G., Tóth, L., Markó, A.: DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface, Proceedings of Interspeech, pp. 3672-3676, Stockholm, Sweden, 2017. PDF BibTeX

Grósz, T., Gosztolya, G., Tóth, L.: Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling, Proceedings of Interspeech, pp. 1621-1625, Stockholm, Sweden, 2017. PDF BibTeX

Grósz, T., Gosztolya, G., Tóth, L.: A Comparative Evaluation of GMM-Free State Tying Methods for ASR, Proceedings of Interspeech, pp. 1626-1630, Stockholm, Sweden, 2017. PDF BibTeX

Gosztolya, G.: Optimized Time Series Filters for Detecting Laughter and Filler Events, Proceedings of Interspeech, pp. 2376-2380, Stockholm, Sweden, 2017. PDF BibTeX

Gosztolya, G., Grósz, T., Tóth, L.: GMM-Free Flat Start Sequence-Discriminative DNN Training, Proceedings of Interspeech, pp. 3409-3413, San Francisco, CA, USA, 2016. PDF BibTeX

Gosztolya, G., Tóth, L., Grósz, T., Vincze, V., Hoffmann, I., Szatlóczki, G., Pákáski, M., Kálmán, J.: Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection, Proceedings of Interspeech, pp. 107-111, San Francisco, CA, USA, 2016. PDF BibTeX

Gosztolya, G., Grósz, T., Busa-Fekete, R., Tóth, L.: Determining Native Language and Deception Using Phonetic Features and Classifier Combination, Proceedings of Interspeech, pp. 2418-2422, San Francisco, CA, USA, 2016. PDF BibTeX

Gosztolya, G., Grósz, T., Szaszák, Gy., Tóth, L.: Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis, Proceedings of Interspeech, pp. 2026-2030, San Francisco, CA, USA, 2016. PDF BibTeX

Vincze, V., Gosztolya, G., Tóth, L., Hoffmann, I., Szatlóczki, G., Bánréti, Z., Pákáski, M., Kálmán, J.: Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts, Proceedings of ACL, pp. 181-187, Berlin, Germany, 2016. PDF BibTeX

Tóth, L., Gosztolya, G.: Adaptation of DNN Acoustic Models using KL-divergence Regularization and Multi-Task Training, Proceedings of Speech and Computer (SPECOM), pp. 108-115, Budapest, Hungary, 2016. PDF BibTeX

Tóth, L., Gosztolya, G., Vincze, V., Hoffmann, I., Szatlóczki, G., Biró, E., Zsura, F., Pákáski, M., Kálmán, J.: Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech using ASR, Proceedings of Interspeech, pp. 2694-2698, Dresden, Germany, 2015. PDF BibTeX

Grósz, T., Busa-Fekete, R., Gosztolya, G., Tóth, L.: Assessing the Degree of Nativeness and Parkinson's Condition Using Gaussian Processes and Deep Rectifier Neural Networks, Proceedings of Interspeech, pp. 919-923, Dresden, Germany, 2015. PDF BibTeX

Gosztolya, G.: On Evaluation Metrics for Social Signal Detection, Proceedings of Interspeech, pp. 2504-2508, Dresden, Germany, 2015. PDF BibTeX

Gosztolya, G.: Conflict Intensity Estimation from Speech Using Greedy Forward-Backward Feature Selection, Proceedings of Interspeech, pp. 1339-1343, Dresden, Germany, 2015. PDF BibTeX

Gosztolya, G., Grósz, T., Tóth, L., Imseng, D.: Building Context-Dependent DNN Acousitc Models Using Kullback-Leibler Divergence-Based State Tying, Proceedings of ICASSP, pp. 4570-4574, Brisbane, Australia, 2015. PDF BibTeX

Gosztolya, G., Grósz, T., Busa-Fekete, R., Tóth, L.: Detecting the Intensity of Cognitive and Physical Load Using AdaBoost and Deep Rectifier Neural Networks, Proceedings of Interspeech, pp. 452-456, Singapore, 2014. PDF BibTeX

Gosztolya, G., Busa-Fekete, R., Tóth, L.: Detecting Autism, Emotions and Social Signals Using AdaBoost, Proceedings of Interspeech, pp. 220-224, Lyon, France, 2013. PDF BibTeX

Gosztolya, G., Tóth, L.: Spoken Term Detection Based on the Most Probable Phoneme Sequence, Proceedings of Int. Symp. on Applied Machine Intelligence and Informatics (SAMI), pp. 101-106, Smolenice, Slovakia, 2011. PDF BibTeX

Tóth, L., Frankel, J., Gosztolya, G., King, S.: Cross-lingual Portability of MLP-Based Tandem Features – A Case Study for English and Hungarian, Proceedings of Interspeech, pp. 2695-2698, Brisbane, Australia, 2008. PDF BibTeX

Theses

Gosztolya, G.: Improving Speed and Accuracy in Automatic Speech Recognition, PhD thesis, University of Szeged, 2010. PDF BibTeX Booklet (ENG) Booklet (HUN)

Journal articles

Vetráb, M., Gosztolya, G.: Using the Bag-of-Audio-Words Approach for Emotion Recognition, Acta Universitatis Sapientiae Informatica, Vol. 14, No. 1, pp. 1-21, 2022. PDF BibTeX

Egas-López, J.V., Gosztolya, G.: Using the Fisher Vector Approach for Cold Identification, Acta Cybernetica, Vol. 25, No. 2, pp. 223-232, 2021. PDF BibTeX

Gosztolya, G., Beke, A., Neuberger, T., Tóth, L.: Laughter Classification Using Deep Rectifier Neural Networks with a Minimal Feature Subset, Archives of Acoustics, Vol. 41, No. 4, pp. 669-682, 2016. PDF BibTeX

Gosztolya, G., Grósz, T.: Domain Adaptation of Deep Neural Networks for Automatic Speech Recognition via Wireless Sensors, Journal of Electrical Engineering, Vol. 67, No. 2, pp. 124-130, 2016. PDF BibTeX

Gosztolya, G., Szilágyi, L.: Application of Fuzzy and Possibilistic c-Means Clustering Models in Blind Speaker Clustering, Acta Polytechnica Hungarica, Vol. 12, No. 7, pp. 41-56, 2015. PDF BibTeX

Gosztolya, G.: Estimating the Level of Conflict Based on Audio Information Using Inverse Distance Weighting, Acta Universitatis Sapientiae, Electrical and Mechanical Engineering, Vol. 6, pp. 47-58, 2014. PDF BibTeX

Gosztolya, G., Tóth, L.: Improving the Sound Recording Quality of Wireless Sensors Using Automatic Gain Control Methods, Scientific Bulletin of "Politehnica" University of Timisoara, Transactions on Automatic Control and Computer Science, Vol. 56(70), No. 2, pp. 47-56, 2011. PDF BibTeX

Gosztolya, G., Dombi, J., Kocsor, A.: Applying the Generalized Dombi Operator Family to the Speech Recognition Task, Journal of Computing and Information Technology (CIT), Vol. 17, No. 3, pp. 285-293, 2009. PDF BibTeX

Gosztolya, G., Kocsor, A.: Using Triangular Norms in a Segment-Based ASR System, International Journal of Information Technology and Intelligent Computing (IT & IC), Vol. 1, No. 3, pp. 487-498, 2006. PDF BibTeX

Kocsor, A., Gosztolya, G.: The Use of Speed-up Techniques for a Speech Recognizer System, International Journal of Speech Technology, Vol. 9, No. 3-4, pp. 95-107, 2006. PDF BibTeX

Gosztolya, G., Kocsor, A.: A Hierarchical Evaluation Methodology in Speech Recognition, Acta Cybernetica, Vol. 17, No. 2, pp. 213-224, 2005. PDF BibTeX

Tóth, L., Kocsor, A., Gosztolya, G.: Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech Model, Acta Cybernetica, Vol. 16, No. 4, pp. 643-657, 2004. PDF BibTeX

Gosztolya, G., Kocsor, A., Tóth, L., Felföldi, L.: Various Robust Search Methods in a Hungarian Speech Recognition System, Acta Cybernetica, Vol. 16, No. 2, pp. 229-240, 2003. PDF BibTeX

Conference papers (English)

Egas-López, J.V., Busa-Fekete, R., Gosztolya, G.: On the Use of Ensemble X-Vector Embeddings for Improved Sleepiness Detection, Proceedings of SPECOM, accepted, Kiit Gurugram, India, 2022. PDF BibTeX

Egas-López, J.V., Gosztolya, G.: Identification of Subjects Wearing a Surgical Mask from Their Speech by Means of X-vectors and Fisher Vectors, Proceedings of MDAI, pp. 108-118, Barcelona, Catalonia, Spain, 2022. PDF BibTeX

Csapó, T.G., Tóth, L., Gosztolya, G., Markó, A.: Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input, Proceedings of SSW, pp. 31-36, Budapest, Hungary, 2021. PDF BibTeX

Zainkó, Cs., Tóth, L., Shandiz, A.H., Gosztolya, G., Markó, A., Csapó, T.G.: Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging, Proceedings of SSW, pp. 54-59, Budapest, Hungary, 2021. PDF BibTeX

Shandiz, A.H., Tóth, L., Gosztolya, G., Markó, A., Csapó, T.G.: Improving Neural Silent Speech Interface Models by Adversarial Training, Proceedings of AICV, pp. 430-440, Settat, Morocco (online), 2021. PDF BibTeX

Egas-López, J.V., Gosztolya, G.: Predicting a Cold from Speech Using Fisher Vectors; SVM and XGBoost as Classifiers, Proceedings of SPECOM, pp. 145-155, St. Petersburg, Russia (online), 2020. PDF BibTeX

Vetráb, M., Gosztolya, G.: Investigating the Corpus Independence of the Bag-of-Audio-Words Approach, Proceedings of TSD, pp. 285-293, Brno, Czech Republic (online), 2020. PDF BibTeX

Gosztolya, G., Beke, A., Neuberger, T.: Differentiating Laughter Types via HMM/DNN and Probabilistic Sampling, Proceedings of SPECOM, pp. 122-132, Instanbul, Turkey, 2019. PDF BibTeX

Egas-López, J.V., Tóth, L., Hoffmann, I., Kálmán, J., Pákáski, M., Gosztolya, G.: Assessing Alzheimer's Disease from Speech Using the i-vector Approach, Proceedings of SPECOM, pp. 289-298, Instanbul, Turkey, 2019. PDF BibTeX

Tóth, L., Gosztolya, G.: Adversarial Multi-Task Learning of Speaker-Invariant Deep Neural Network Acoustic Models for Speech Recognition, Proceedings of ASPAI, pp. 82-86, Barcelona, Catalonia, Spain, 2019. PDF BibTeX

Gosztolya, G.: Detecting Laughter and Filler Events by Time Series Smoothing with Genetic Algorithms, Proceedings of Speech and Computer (SPECOM), pp. 232-239, Budapest, Hungary, 2016. PDF BibTeX

Gosztolya, G.: On the Concept of Correct Hits in Spoken Term Detection, Proceedings of Workshop on Artificial Intelligence and Cognition (AIC), pp. 75-85, Torino, Italy, 2014. PDF BibTeX

Gosztolya, G.: Is AdaBoost Competitive for Phoneme Classification?, Proceedings of Int. Symp. on Computational Intelligence and Informatics (CINTI), pp. 61-66, Budapest, Hungary, 2014. PDF BibTeX

Gosztolya, G., Dombi, J.: Applying Representative Uninorms for Phonetic Classifier Combination, Proceedings of Int. Conf. on Modeling Decisions for Artificial Intelligence (MDAI), pp. 182-191, Tokyo, Japan, 2014. PDF BibTeX

Grósz, T., Gosztolya, G., Tóth, L.: A Sequence Training Method for Deep Rectifier Neural Networks in Speech Recognition, Proceedings of SPECOM, pp. 81-88, Novi Sad, Serbia, 2014. PDF BibTeX

Gosztolya, G.: Using The Logarithmic Generator Function in the Spoken Term Detection Task, Proceedings of Int. Conf. on Modeling Decisions for Artificial Intelligence (MDAI), pp. 94-104, Barcelona, Catalonia, Spain, 2013. PDF BibTeX

Gosztolya, G., Tóth, L., Kovács, Gy.: Spoken Term Detection from Noisy Input, Proceedings of Int. Symp. on Applied Computational Intelligence and Informatics (SACI), pp. 91-96, Temesvár (Timisoara), Romania, 2011. PDF BibTeX

Gosztolya, G., Paczolay, D., Tóth, L.: Low-Complexity Audio Compression Methods for Wireless Sensors, Proceedings of Int. Symp. on Intelligent Systems and Informatics (SISY), pp. 77-81, Szabadka (Subotica), Serbia, 2010. PDF BibTeX

Gosztolya, G., Paczolay, D., Tóth, L.: Automatic Gain Control Algorithms for Wireless Sensors, Proceedings of Int. Joint Conf. on Computational Cybernetics and Technical Informatics (ICCC-CONTI), pp. 401-406, Temesvár (Timisoara), Romania, 2010. PDF BibTeX

Gosztolya, G., Bánhalmi, A., Tóth, L.: Using One-Class Classification Techniques in the Anti-Phoneme Problem, Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), LNCS Vol. 5524, pp. 433-440, Springer, Porto, Portugal, 2009. PDF BibTeX

Gosztolya, G., Tóth, L..: Detection of Phoneme Boundaries Using Spiking Neurons, Proceedings of Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), LNCS Vol. 5097, pp. 782-793, Springer, Zakopane, Poland, 2008. PDF BibTeX

Gosztolya, G., Stachó, L.L.: Aiming for best fit T-norms in Speech Recognition, Proceedings of Int. Symp. on Intelligent Systems and Informatics (SISY), pp. 1-5, Szabadka (Subotica), Serbia, 2008. PDF BibTeX

Kocsor, A., Gosztolya, G.: Application of Full Reinforcement Aggregation Operators in Speech Recognition, Proceedings of Int. Conf. on Recent Advances in Soft Computing (RASC), pp. 1-6, Canterbury, UK, 2006. PDF BibTeX

Gosztolya, G., Kocsor, A.: Speeding Up Dynamic Search Methods in Speech Recognition, Proceedings of Int. Conf. on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), LNCS Vol. 3533, pp. 98-100, Springer, Bari, Italy, 2005. PDF BibTeX

Gosztolya, G., Kocsor, A.: Aggregation Operators and Hypothesis Space Reductions in Speech Recognition, Proceedings of Conf. of Text, Speech and Dialogue (TSD), LNCS Vol. 3206, pp. 315-322, Springer, Brno, Czech Republic, 2004. PDF BibTeX

Tóth, L., Gosztolya, G.: Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition, Proceedings of Int. Symp. on Neural Networks, LNCS Vol. 3173, pp. 996-1001, Springer, Dalian, China, 2004. PDF BibTeX

Gosztolya, G., Kocsor, A.: Improving the Multi-Stack Decoding Algorithm in a Segment-based Speech Recognizer, Proceedings of Int. Conf. on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), LNCS Vol. 2718, pp. 744-749, Springer, Loughborough, England, UK, 2003., Vol. 16, No. 2, pp. 229-240, 2003. PDF BibTeX

Journal articles (Hungarian)

Somoskeöy, Sz., Kovács, I., Mezei, M., Hoffmann, I., Tóth, L., Gosztolya, G., Imre, N., Balogh, R., Pákáski, M., Kálmán, J., Fehér, A.: Szemmozgások elemzése tradicionális és újszerű vizuális tesztkörnyezetben: a háttérkép disztraktor hatása a szakkádikus paraméterekre , Magyar Pszichológiai Szemle, Vol. 73, No. 3, pp. 367-389, 2020. PDF BibTeX

Hoffmann, I., Tóth, L., Gosztolya, G., Szatlóczki, G., Vincze, V., Kárpáti, E., Pákáski, M., Kálmán, J.: Beszédfelismerés alapú eljárás az enyhe kognitív zavar automatikus felismerésére spontán beszéd alapján, Általános nyelvészeti tanulmányok, Vol. 29, pp. 385-405, 2017. BibTeX

Conference papers (Hungarian)

Gosztolya, G., Tóth, L., Svindt, V., Bóna, J., Hoffmann, I.: Sclerosis Multiplex hangalapú felismerése akusztikai alapú beágyazások használatával (in Hungarian), Proceedings of the 2022 Hungarian Computational Linguistics Conference (MSZNY), pp. 151-160, Szeged, Hungary, 2022. PDF BibTeX

Vetráb, M., Egas-López, J.V., Balogh, R., Imre, N., Hoffmann, I., Tóth, L., Pákáski, M., Kálmán, J., Gosztolya, G.: Enyhe kognitív zavar automatikus felismerése szekvenciális autoenkóder használatával (in Hungarian), Proceedings of the 2022 Hungarian Computational Linguistics Conference (MSZNY), pp. 175-184, Szeged, Hungary, 2022. PDF BibTeX

Tóth, L., Shandiz, A.H., Gosztolya, G., Zainkó, Cs., Markó, A., Csapó, T.G.: 3D konvolúciós neuronhálón és neurális vokóderen alapuló némabeszéd-interfész (in Hungarian), Proceedings of the 2021 Hungarian Computational Linguistics Conference (MSZNY), pp. 123-137, Szeged, Hungary, 2021. PDF BibTeX

Egas-López, J.V., Balogh, R., Imre, N., Tóth, L., Vincze, V., Pákáski, M., Kálmán, J., Hoffmann, I., Gosztolya, G.: Enyhe kognitív zavar detektálása beszédhangból x-vektor reprezentáció használatával (in Hungarian), Proceedings of the 2021 Hungarian Computational Linguistics Conference (MSZNY), pp. 147-156, Szeged, Hungary, 2021. PDF BibTeX

Vetráb, M., Gosztolya, G.: Az akusztikus szózsák eljárás korpuszfüggetlenségének vizsgálata (in Hungarian), Proceedings of the 2020 Hungarian Computational Linguistics Conference (MSZNY), pp. 219-231, Szeged, Hungary, 2020. PDF BibTeX

Pintér, Á., Tóth, L., Gosztolya, G.: Mély neuronhálós akusztikus modellek súlyinicializálásának vizsgálata (in Hungarian), Proceedings of the 2020 Hungarian Computational Linguistics Conference (MSZNY), pp. 313-321, Szeged, Hungary, 2020. PDF BibTeX

Bagi, A., Gosztolya, G., Szalóki, Sz., Szendi, I., Hoffmann, I.: Szkizofrénia azonosítása spontán beszéd temporális paraméterei alapján -- egy pilot kutatás eredményei (in Hungarian), Proceedings of the 2019 Hungarian Computational Linguistics Conference (MSZNY), pp. 189-201, Szeged, Hungary, 2019. PDF BibTeX

Tóth, L., Gosztolya, G.: Beszélőinvariáns akusztikus modellek létrehozása mély neuronhálók ellenséges multi-taszk tanításával (in Hungarian), Proceedings of the 2019 Hungarian Computational Linguistics Conference (MSZNY), pp. 3-11, Szeged, Hungary, 2019. PDF BibTeX

Vetráb, M., Gosztolya, G.: Érzelmek felismerése magyar nyelvű hangfelvételekből akusztikus szózsák jellemzőreprezentáció alkalmazásával (in Hungarian), Proceedings of the 2019 Hungarian Computational Linguistics Conference (MSZNY), pp. 265-274, Szeged, Hungary, 2019. PDF BibTeX

Pintér, Á., Gosztolya, G., Tóth, L., Grósz, T., Csapó, T.G., Markó, A.: Autoenkóderen alapuló jellemzőreprezentáció mély neuronhálós, ultrahang-alapú némabeszéd-interfészekben (in Hungarian), Proceedings of the 2019 Hungarian Computational Linguistics Conference (MSZNY), pp. 13-22, Szeged, Hungary, 2019. PDF BibTeX

Tóth, L., Grósz, T., Gosztolya, G.: Beszédfelismerők mély neuronhálós állapotkapcsolási algoritmusainak kísérleti összehasonlítása (in Hungarian), Proceedings of the 2018 Hungarian Computational Linguistics Conference (MSZNY), pp. 171-182, Szeged, Hungary, 2018. PDF BibTeX

Grósz, T., Tóth, L., Gosztolya, G., Csapó, T.G., Markó, A.: Kísérletek az alapfrekvencia becslésére mély neuronhálós, ultrahang-alapú némabeszéd-interfészekben (in Hungarian), Proceedings of the 2018 Hungarian Computational Linguistics Conference (MSZNY), pp. 196-205, Szeged, Hungary, 2018. PDF BibTeX

Gosztolya, G., Hoffmann, I., Tóth, L., Vincze, V., Pákáski, M., Kálmán, J.: Az enyhe kognitív zavar és korai Alzheimer-kór automatikus azonosítása spontán beszédből akusztikus jellemzők segítségével (in Hungarian), Proceedings of the 2018 Hungarian Computational Linguistics Conference (MSZNY), pp. 219-230, Szeged, Hungary, 2018. PDF BibTeX

Grósz, T., Gosztolya, G., Tóth, L.: Mély neuronhálós beszédfelismerők GMM-mentes tanítása (in Hungarian), Proceedings of the 2017 Hungarian Computational Linguistics Conference (MSZNY), pp. 170-180, Szeged, Hungary, 2017. PDF BibTeX

Gosztolya, G., Grósz, T., Tóth, L., Beke, A., Neuberger, T.: Neurális hálók tanítása valószínűségi mintavételezéssel nevetések felismerésére (in Hungarian), Proceedings of the 2017 Hungarian Computational Linguistics Conference (MSZNY), pp. 136-145, Szeged, Hungary, 2017. PDF BibTeX

Gosztolya, G., Vincze, V., Grósz, T., Tóth, L.: Egy magyar nyelvű beszédfelismerő rendszer szószintű hibáinak elemzése (in Hungarian), Proceedings of the 2016 Hungarian Computational Linguistics Conference (MSZNY), pp. 100-110, Szeged, Hungary, 2016. PDF BibTeX

Gosztolya, G., Beke, A., Neuberger, T.: Nevetések automatikus felismerése mély neurális hálók használatával (in Hungarian), Proceedings of the 2016 Hungarian Computational Linguistics Conference (MSZNY), pp. 122-133, Szeged, Hungary, 2016. PDF BibTeX

Tóth, L., Gosztolya, G.: Mély neuronhálós akusztikus modellek gyors adaptációja multi-taszk tanítással (in Hungarian), Proceedings of the 2016 Hungarian Computational Linguistics Conference (MSZNY), pp. 154-162, Szeged, Hungary, 2016. PDF BibTeX

Tóth, L., Gosztolya, G., Vincze, V., Hoffmann, I., Szatlóczki, G., Biró, E., Zsura, F., Pákáski, M., Kálmán, J.: Az enyhe kognitív zavar automatikus azonosítása beszédfelismerési technikák használatával (in Hungarian), Neumann Kollokvium, pp. 112-117, Veszprém, Hungary, 2015. PDF BibTeX

Grósz, T., Gosztolya, G., Tóth, L.: Környezetfüggő akusztikai modellek létrehozása Kullback-Leibler–divergencia alapú klaszterezéssel (in Hungarian), Proceedings of the 2015 Hungarian Computational Linguistics Conference (MSZNY), pp. 174-181, Szeged, Hungary, 2015. PDF BibTeX

Vincze, V., Hoffmann, I, Szatlóczki, G, Bíró, E., Gosztolya, G., Tóth, L., Pákáski, M., Kálmán, J.: Az enyhe kognitív zavar automatikus azonosítása beszédátiratok alapján (in Hungarian), Proceedings of the 2015 Hungarian Computational Linguistics Conference (MSZNY), pp. 249-256, Szeged, Hungary, 2015. PDF BibTeX

Gosztolya, G.: Kulcsszó-előfordulások relevanciájának vizsgálata magyar nyelvű hangzó híranyagokban (in Hungarian), Proceedings of the 2014 Hungarian Computational Linguistics Conference (MSZNY), pp. 286-294, Szeged, Hungary, 2014. PDF BibTeX

Gosztolya, G., Tóth, L.: Kulcsszókeresési kísérletek hangzó híranyagokon beszédhang alapú felismerési technikákkal (in Hungarian), Proceedings of the 2010 Hungarian Computational Linguistics Conference (MSZNY), pp. 224-235, Szeged, Hungary, 2010. PDF BibTeX