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personal data approved: 2023. V. 02.
Personal data
name Dávid Sztahó
name of institution
doctoral school
BME Doctoral School of Informatics (Supervisor)
BME Doctoral School of Electrical Engineering (Supervisor)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 100%
Contact details
E-mail address sztahotmit.bme.hu
phone number +36 1 463-1249
Academic title
scientific degree, title Ph.D.
year degree was obtained 2014
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Economics
Employment
2016 - Budapest University of Technology and Economics
egyetemi kutató
Thesis topic supervisor
number of doctoral students supervised until now 2
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Dosti Ali Hama Salih Aziz (PhD) (2026/08)  DSI-BME
Mohammed Hamzah Abed (PhD) (2026/08)  DSI-BME
Attila Zoltán Jenei (PhD) (2024/08)  DSI-BME
Sabeena Yasmin Hera (PhD) (2024/08)  DSEE
  Thesis topic proposals
Research
research area Speech technology
research field in which current research is conducted computer sciences
Publications
2023

Sztahó Dávid, Fejes Attila: Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings, JOURNAL OF FORENSIC SCIENCES 68: (3) pp. 871-883.
type of document: Journal paper/Article
language: English
URL 
2022

Hajduska-Dér Bálint, Kiss Gábor, Sztahó Dávid, Vicsi Klára, Simon Lajos: The applicability of the Beck Depression Inventory and Hamilton Depression Scale in the automatic recognition of depression based on speech signal processing, FRONTIERS IN PSYCHIATRY 13: 879896
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2022

Egas-Lopez Jose Vicente, Kiss Gabor, Sztaho David, Gosztolya Gabor: Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors, In: The Institute of Electrical, and Electronics Engineers (szerk.) ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE (2022) pp. 8502-8506.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL 
2021

Jenei Attila Zoltán, Kiss Gábor, Tulics Miklós Gábriel, Sztahó Dávid: Separation of Several Illnesses Using Correlation Structures with Convolutional Neural Networks, ACTA POLYTECHNICA HUNGARICA 18: (7) pp. 47-66.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2021

Sztahó Dávid, Szaszák György, Beke András: Deep Learning Methods in Speaker Recognition: A Review, PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 65: (4) pp. 310-328.
type of document: Journal paper/Review paper
number of independent citations: 12
language: English
URL 
2018

Sztahó Dávid, Kiss Gábor, Vicsi Klára: Computer based speech prosody teaching system, COMPUTER SPEECH AND LANGUAGE 50: pp. 126-140.
type of document: Journal paper/Article
number of independent citations: 13
language: English
URL 
2017

Dávid Sztahó, Miklós Gábriel Tulics, Klára Vicsi, István Valálik: Automatic Estimation of Severity of Parkinson’s Disease Based on Speech Rhythm Related Features, In: Institute of Electrical and Electronics Engineers, IEEE (szerk.) 8th IEEE International Conference on Cognitive Infocommunications, Institute of Electrical and Electronics Engineers (IEEE) (2017) pp. 11-16.
type of document: Part of book/Proceedings Paper
number of independent citations: 12
language: English
URL 
2015

D Sztahó, G Kiss, K Vicsi: Estimating the Severity of Parkinson's Disease from Speech Using Linear Regression and Database Partitioning, In: Sebastian, Möller; Hermann, Ney; Bernd, Möbius; Elmar, Nöth; Stefan, Steidl (szerk.) 16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5, International Speech Communication Association (ISCA) (2015) pp. 498-502.
type of document: Part of book/Proceedings Paper
number of independent citations: 20
language: English
2013

Kiss Gábor, Sztahó Dávid, Vicsi Klára: Language independent automatic speech segmentation into phoneme-like units on the base of acoustic distinctive features, In: Institute of Electrical and Electronics Engineers, IEEE (szerk.) 4th IEEE International Conference on Cognitive Infocommunications, IEEE (2013) pp. 579-582.
type of document: Part of book/Proceedings Paper
number of independent citations: 20
language: English
URL 
2008

Tóth Sz L, Sztahó D, Vicsi K: Speech Emotion Perception by Human and Machine, In: Esposito, Anna; Bourbakis, Nikolaos G; Avouris, Nikolaos; Hatzilygeroudis, Ioannis (szerk.) Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction, Springer-Verlag (2008) pp. 213-224.
type of document: Part of book/Proceedings Paper
number of independent citations: 28
language: English
URL 
Number of independent citations to these publications:114 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
61
number of scientific publications:
61
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
285

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )