Statistical Analysis of Acoustical Parameters in the Voice of Children with Juvenile Dysphonia. - Miklós Gábriel Tulics; Ferenc Kazinczi; Klára Vicsi (SPECOM, 2016)

Language Independent Detection Possibilities of Depression by Speech. - Gábor Kiss; Miklós Gábriel Tulics; Dávid Sztahó; Anna Esposito; Klára Vicsi (Recent Advances in Nonlinear Speech Processing, 2016)

Automatic estimation of severity of Parkinson's disease based on speech rhythm related features. - David Sztahó; Miklós Gábriel Tulics; Klára Vicsi; István Valálik (CogInfoCom, 2017)

Phonetic-class based correlation analysis for severity of dysphonia. - Miklós Gábriel Tulics; Klára Vicsi (CogInfoCom, 2017)

Automatic Separation of Various Disease Types by Correlation Structure of Time Shifted Speech Features. - David Sztahó; Gábor Kiss; Miklós Gábriel Tulics; Klára Vicsi (TSP, 2018)

Artificial Neural Network and SVM based Voice Disorder Classification. - Miklós Gábriel Tulics; György Szaszák; Krisztina Mészáros; Klára Vicsi (CogInfoCom, 2019)

Automatic discrimination of several types of speech pathologies. - Dávid Sztahó; Gábor Kiss; Miklós Gábriel Tulics; Bálint Hajduska-Dér; Klára Vicsi (SpeD, 2019)

Possibilities for the automatic classification of functional and organic dysphonia. - Miklós Gábriel Tulics; Livia Judit Lavati; Krisztina Mészáros; Klára Vicsi (SpeD, 2019)

The automatic assessment of the severity of dysphonia. - Miklós Gábriel Tulics; Klára Vicsi (Int. J. Speech Technol., 2019)

Using ASR Posterior Probability and Acoustic Features for Voice Disorder Classification. - Miklós Gábriel Tulics; György Szaszák; Krisztina Mészáros; Klára Vicsi (CogInfoCom, 2020)

Deep Learning Solution for Pathological Voice Detection using LSTM-based Autoencoder Hybrid with Multi-Task Learning. - Dávid Sztahó; Gábor Kiss; Miklós Gábriel Tulics (BIOSIGNALS, 2021)

Application for Detecting Depression, Parkinson's Disease and Dysphonic Speech. - Gábor Kiss; Dávid Sztahó; Miklós Gábriel Tulics (Interspeech, 2021)

Cross-lingual Detection of Dysphonic Speech for Dutch and Hungarian Datasets. - Dávid Sztahó; Miklós Gábriel Tulics; Jinzi Qi; Hugo Van hamme; Klára Vicsi (BIOSIGNALS, 2022)