Miklós Gábriel Tulics

According to our database, Miklós Gábriel Tulics authored at least 13 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Cross-lingual Detection of Dysphonic Speech for Dutch and Hungarian Datasets.

Dávid Sztahó, Miklós Gábriel Tulics, Jinzi Qi, Hugo Van hamme, Klára Vicsi

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Application for Detecting Depression, Parkinson's Disease and Dysphonic Speech.

Gábor Kiss, Dávid Sztahó, Miklós Gábriel Tulics

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Deep Learning Solution for Pathological Voice Detection using LSTM-based Autoencoder Hybrid with Multi-Task Learning.

Dávid Sztahó, Gábor Kiss, Miklós Gábriel Tulics

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Using ASR Posterior Probability and Acoustic Features for Voice Disorder Classification.

Miklós Gábriel Tulics, György Szaszák, Krisztina Mészáros, Klára Vicsi

Proceedings of the 11th IEEE International Conference on Cognitive Infocommunications, 2020

2019

The automatic assessment of the severity of dysphonia.

Miklós Gábriel Tulics, Klára Vicsi

Int. J. Speech Technol., 2019

Possibilities for the automatic classification of functional and organic dysphonia.

Miklós Gábriel Tulics, Livia Judit Lavati, Krisztina Mészáros, Klára Vicsi

Proceedings of the 2019 International Conference on Speech Technology and Human-Computer Dialogue, 2019

Automatic discrimination of several types of speech pathologies.

Dávid Sztahó, Gábor Kiss, Miklós Gábriel Tulics, Bálint Hajduska-Dér, Klára Vicsi

Proceedings of the 2019 International Conference on Speech Technology and Human-Computer Dialogue, 2019

Artificial Neural Network and SVM based Voice Disorder Classification.

Miklós Gábriel Tulics, György Szaszák, Krisztina Mészáros, Klára Vicsi

Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications, 2019

2018

Automatic Separation of Various Disease Types by Correlation Structure of Time Shifted Speech Features.

David Sztahó, Gábor Kiss, Miklós Gábriel Tulics, Klára Vicsi

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

2017

Phonetic-class based correlation analysis for severity of dysphonia.

Miklós Gábriel Tulics, Klára Vicsi

Proceedings of the 8th IEEE International Conference on Cognitive Infocommunications, 2017

Automatic estimation of severity of Parkinson's disease based on speech rhythm related features.

David Sztahó, Miklós Gábriel Tulics, Klára Vicsi, István Valálik

Proceedings of the 8th IEEE International Conference on Cognitive Infocommunications, 2017

2016

Language Independent Detection Possibilities of Depression by Speech.

Gábor Kiss, Miklós Gábriel Tulics, Dávid Sztahó, Anna Esposito, Klára Vicsi

Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Statistical Analysis of Acoustical Parameters in the Voice of Children with Juvenile Dysphonia.

Miklós Gábriel Tulics, Ferenc Kazinczi, Klára Vicsi

Proceedings of the Speech and Computer - 18th International Conference, 2016