L. Tóth

Gergely Pap, László Tóth, L. Tóth, 2019, 2019 IEEE 19th International Symposium on Computational Intelligence and Informatics and 7th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics (CINTI-MACRo).

Convolutional deep maxout networks for phone recognition

László Tóth, L. Tóth, 2014, INTERSPEECH.

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

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

Joint Optimization of Spectro-Temporal Features and Deep Neural Nets for Robust Automatic Speech Recognition

György Kovács, László Tóth, L. Tóth, 2015, Acta Cybern..

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.

Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout

Dirk Van Compernolle, György Kovács, Sriram Ganapathy, 2017, Pattern Recognit. Lett..

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).

Learning Phonetic Rules in a Speech Recognition System

János Csirik, Márk Jelasity, László Tóth, 1997, ILP.

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..

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

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

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

László Tóth, András Kocsor, L. Tóth, 2022 .

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.

On naive Bayes in speech recognition

János Csirik, László Tóth, András Kocsor, 2005 .

Real-Time Vocal Tract Length Normalization

László Tóth, András Kocsor, Dénes Paczolay, 2003, TSD.

Various Robust Search Methods in a Hungarian Speech Recognition System

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

A segment-based statistical speech recognition system for isolated/continuous number recognition?

János Csirik, Márk Jelasity, András Kocsor, 2002 .

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.

Transcription factor binding site detection using convolutional neural networks with a functional group-based data representation

László Tóth, Gergely Pap, Györgypál Zoltán, 2021, Journal of Physics: Conference Series.

Social Signal Detection by Probabilistic Sampling DNN Training

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

Comparative Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements

László Vidács, László Tóth, L. Tóth, 2019, Inf. Technol. Control..

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

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

CLASSIFIER COMBINATION IN SPEECH RECOGNITION

László Tóth, András Kocsor, László Felföldi, 2003 .

Study of Various Classifiers for Identification and Classification of Non-functional Requirements

László Tóth, László Vidács, L. Tóth, 2018, ICCSA.

Towards an Accurate Prediction of the Question Quality on Stack Overflow using a Deep-Learning-Based NLP Approach

Tibor Gyimóthy, László Vidács, László Tóth, 2019, ICSOFT.

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.

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.

Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling

László Tóth, András Kocsor, L. Tóth, 2005, ICANN.

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.

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.

Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability

László Tóth, László Vidács, András Kicsi, 2018, 2018 IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE).

Deep neural networks with linearly augmented rectifier layers for speech recognition

László Tóth, L. Tóth, 2018, 2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI).

Localization of Visual Codes in the DCT Domain Using Deep Rectifier Neural Networks

László G. Nyúl, László Tóth, Tamás Grósz, 2014, ANNIIP.