Speech Emotion Perception by Human and Machine. - Szabolcs Levente Tóth; David Sztahó; Klára Vicsi (COST 2102 Workshop (Patras), 2007)

Automatic Sentence Modality Recognition in Children's Speech, and Its Usage Potential in the Speech Therapy. - David Sztahó; Katalin Nagy; Klára Vicsi (COST 2102 Conference (Prague), 2008)

Automatic prosodic disorders analysis for impaired communication children. - Fabien Ringeval; Mohamed Chetouani; David Sztahó; Klára Vicsi (WOCCI, 2008)

Subjective Tests and Automatic Sentence Modality Recognition with Recordings of Speech Impaired Children. - David Sztahó; Katalin Nagy; Klára Vicsi (COST 2102 Training School, 2009)

Automatic intonation classification for speech training systems. - György Szaszák; David Sztahó; Klára Vicsi (INTERSPEECH, 2009)

Automatic Classification of Emotions in Spontaneous Speech. - David Sztahó; Viktor Imre; Klára Vicsi (COST 2102 Conference, 2010)

Problems of the Automatic Emotion Recognitions in Spontaneous Speech; An Example for the Recognition in a Dispatcher Center. - Klára Vicsi; David Sztahó (COST 2102 Training School, 2010)

Examination of the sensitivity of acoustic-phonetic parameters of speech to depression. - Klára Vicsi; Dávid Sztahó; Gábor Kiss (CogInfoCom, 2012)

Recognition of Emotions on the Basis of Different Levels of Speech Segments. - Klára Vicsi; David Sztahó (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Language independent automatic speech segmentation into phoneme-like units on the base of acoustic distinctive features. - Gábor Kiss; David Sztahó; Klára Vicsi (CogInfoCom, 2013)

Connection between body condition and speech parameters - especially in the case of hypoxia. - Gábor Kiss; Dávid Sztahó; Klára Vicsi; Adrianos Golemis (CogInfoCom, 2014)

A computer-assisted prosody pronunciation teaching system. - David Sztahó; Gábor Kiss; László Czap; Klára Vicsi (WOCCI, 2014)

Speech activity detection and automatic prosodic processing unit segmentation for emotion recognition. - David Sztahó; Klára Vicsi (Intell. Decis. Technol., 2014)

Automatikus érzelem-felismerés akusztikai paraméterek alapján - Dávid Sztahó (2014)

Estimating the severity of parkinson's disease from speech using linear regression and database partitioning. - David Sztahó; Gábor Kiss; Klára Vicsi (INTERSPEECH, 2015)

Estimating the Severity of Parkinson's Disease Using Voiced Ratio and Nonlinear Parameters. - David Sztahó; Klára Vicsi (SLSP, 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)

Assessment of pathological speech prosody based on automatic stress detection and phrasing approaches. - Máté Ákos Tündik; Gábor Kiss; David Sztahó; György Szaszák (CogInfoCom, 2017)

Detection Possibilities of Depression and Parkinson's disease Based on the Ratio of Transient Parts of the Speech. - Gábor Kiss; Artur Bendeguz Takacs; Dávid Sztahó; Klára Vicsi (CogInfoCom, 2018)

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)

Computer based speech prosody teaching system. - David Sztahó; Gábor Kiss; Klára Vicsi (Comput. Speech Lang., 2018)

Speech Fluency Measurement of Patients with Parkinson's Disease by Forward-Backward Divergence Segmentation. - Dávid Sztahó; István Valálik (CogInfoCom, 2019)

Depression State Assessment: Application for Detection of Depression by Speech. - Gábor Kiss; Dávid Sztahó; Klára Vicsi (INTERSPEECH, 2019)

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

Parkinson's Disease Severity Estimation on Hungarian Speech Using Various Speech Tasks. - David Sztahó; István Valálik; Klára Vicsi (SpeD, 2019)

Articulation correctness measurement of Parkinson's disease using low resource-intensitve segmentation methods. - David Sztahó; Orosz Anett; István Valálik (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)

Deep Learning Methods in Speaker Recognition: A Review. - Dávid Sztahó; György Szaszák; András Beke (Period. Polytech. Electr. Eng. Comput. Sci., 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)

Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors. - José Vicente Egas López; Gábor Kiss; Dávid Sztahó; Gábor Gosztolya (ICASSP, 2022)

Detection of Speech Related Disorders by Pre-trained Embedding Models Extracted Biomarkers. - Attila Zoltán Jenei; Gábor Kiss; Dávid Sztahó (SPECOM, 2022)

Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings. - Dávid Sztahó; Attila Fejes (CoRR, 2022)

Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings. - Daria Hemmerling; Marek Wodzinski; Juan Rafael Orozco-Arroyave; David Sztahó; Mateusz Daniol; Pawel Jemiolo; Magdalena Wójcik-Pedziwiatr (EMBC, 2023)

Binary and Multiclass Classification of Dysphonia Using Whisper Encoder and One-Dimensional Convolutional Neural Network. - Dosti Aziz; Dávid Sztahó (SPECOM (1), 2024)

Deep Speaker Embeddings for Speaker Verification of Children. - Mohammed Hamzah Abed; Dávid Sztahó (TSD (2), 2024)

Dysphonia Diagnosis Using Self-supervised Speech Models in Mono and Cross-Lingual Settings. - Dosti Aziz; Dávid Sztahó (TSD (2), 2024)

Effect of identical twins on deep speaker embeddings based forensic voice comparison. - Mohammed Hamzah Abed; Dávid Sztahó (Int. J. Speech Technol., 2024)

Automatic cross- and multi-lingual recognition of dysphonia by ensemble classification using deep speaker embedding models. - Dosti Aziz; Dávid Sztahó (Expert Syst. J. Knowl. Eng., 2024)

Effect of Noises and GSM Codings on Pre-Trained Speaker Embedding Models in Forensic Voice Comparison. - Mohammed Hamzah Alsalihi; Dávid Sztahó (IEEE Access, 2025)

Spoof speech classification using deep speaker embeddings and machine learning models. - Mohammed Hamzah Alsalihi; Dávid Sztahó (Array, 2025)