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VALIDITY EXPIRED
personal data approved: 2018. III. 01.
Personal data
name Gábor Gosztolya
name of institution
doctoral school
SzTE Doctoral School of Computer Science (Supervisor)
accreditation statement submitted to: University of Szeged
Contact details
E-mail address ggaborinf.u-szeged.hu
phone number +36 62 546-713
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2011
discipline to which degree belongs computer sciences
institution granting the degree University of Szeged
Employment
2019 - MTA-SZTE Mesterséges Intelligencia Kutatócsoport (research institute, not university)
other (not specified) (tudományos főmunkatárs)
2013 - MTA-SZTE Mesterséges Intelligencia Kutatócsoport (research institute, not university)
other (not specified) (tudományos munkatárs)
Thesis topic supervisor
number of doctoral students supervised until now 1
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Mercedes Vetráb (PhD) (2023/08)  IDI2-SzTE
José Vicente Egas López (PhD) (2022/08)  IDI2-SzTE
  Thesis topic proposals
Research
research area speech technology: automatic speech recognition, computational paralinguistics, medial speech applications
research field in which current research is conducted computer sciences
Publications
2019

Gábor Gosztolya, Veronika Vincze, László Tóth, Magdolna Pákáski, János Kálmán, Ildikó Hoffmann: Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features, COMPUTER SPEECH AND LANGUAGE 53: pp. 181-197.
type of document: Journal paper/Article
language: English
URL 
2019

Gosztolya Gábor, Busa-Fekete Róbert: Calibrating AdaBoost for phoneme classification, SOFT COMPUTING 23: (1) pp. 115-128.
type of document: Journal paper/Article
language: English
URL 
2018

Gábor Gosztolya, László Tóth: A Feature Selection-Based Speaker Clustering Method for Paralinguistic Tasks, PATTERN ANALYSIS AND APPLICATIONS 21: (1) pp. 193-204.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2018

Toth Laszlo, Hoffmann Ildiko, Gosztolya Gabor, Vincze Veronika, Szatloczki Greta, Banreti Zoltan, Pakaski Magdolna, Kalman Janos: A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech, CURRENT ALZHEIMER RESEARCH 15: (2) pp. 130-138.
type of document: Journal paper/Article
number of independent citations: 9
language: English
URL 
2018

Gosztolya Gabor, Grosz Tamas, Toth Laszlo: Social Signal Detection by Probabilistic Sampling DNN Training, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING pp. 1-1.
type of document: Journal paper/Article
language: English
URL 
2017

Gábor Gosztolya, László Tóth: DNN-based Feature Extraction for Conflict Intensity Estimation from Speech, IEEE SIGNAL PROCESSING LETTERS 24: (12) pp. 1837-1841.
type of document: Journal paper/Article
language: English
URL 
2016

Veronika Vincze, Gábor Gosztolya, László Tóth, Ildikó Hoffmann, Gréta Szatlóczki, Zoltán Bánréti, Magdolna Pákáski, János Kálmán: Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts, In: Katrin, Erk; Noah, A Smith (szerk.) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (2016) pp. 181-187.
type of document: Part of book/Proceedings Paper
number of independent citations: 5
language: English
URL 
2015

Tóth László, Gosztolya Gábor, Vincze Veronika, Hoffmann Ildikó, Szatlóczki Gréta, Biró Edit, Zsura Fruzsina, Pákáski Magdolna, Kálmán János: Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech using ASR, In: Sebastian, Möller; Hermann, Ney; Bernd, Möbius; Elmar, Nöth; Stefan, Steidl (szerk.) Speech Beyond Speech Towards a Better Understanding of the Most Important Biosignal: Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH 2015), International Speech Communication Association (ISCA) (2015) pp. 2694-2698.
type of document: Part of book/Proceedings Paper
number of independent citations: 31
language: English
URL 
2015

Gosztolya G, Szilágyi L: Application of fuzzy and possibilistic c-means clustering models in blind speaker clustering, ACTA POLYTECHNICA HUNGARICA 12: (7) pp. 41-56.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2008

Tóth L, Gosztolya G, Frankel J, King S: Cross-lingual Portability of MLP-Based Tandem Features - A Case Study for English and Hungarian, In: Proceedings of the Annual Conference of the International Speech Communication Association, (2008) pp. 2695-2698.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 33
language: English
URL 
Number of independent citations to these publications:83 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
101
number of scientific publications:
99
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
333

 
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. )