Klára Vicsi - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2022. XII. 07.

Personal data

name	Klára Vicsi
name of institution	Budapest University of Technology and Economics
doctoral school	BME Doctoral School of Informatics (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. ) BME Doctoral School of Electrical Engineering (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. ) BME Doctoral School of Psychology (Cognitive Science) (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. ) Council of the Doctoral School
the share of work in the different doctoral schools.	BME Doctoral School of Informatics 38% BME Doctoral School of Electrical Engineering 51% BME Doctoral School of Psychology (Cognitive Science) 1% BME DSP2-BME Council of the Doctoral School 10%
accreditation statement submitted to:	Budapest University of Technology and Economics

Contact details
E-mail address	vicsitmit.bme.hu
phone number	+36 1 463-1111/4511
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	1992
discipline to which degree belongs	computer sciences
institution granting the degree	BME (to be translated)
scientific degree, title	DSc
year degree was obtained	2005
discipline to which degree belongs
institution granting the degree	HAS

Employment
2018 -	Budapest University of Technology and Economics professor emerita

Thesis topic supervisor

number of doctoral students supervised until now

number of students who fulfilled course requirements

students who obtained their degrees:

	Miklós Gábriel Tulics	PhD	2021	DSEE
	Gábor Kiss	PhD	2020	DSI-BME
	Dávid Sztahó	PhD	2014	DSI-BME
	György Szaszák	PhD	2009	DSI-BME
(50%)	László Czap	PhD	2005	DSI-BME
	Ágnes Váry	PhD	2003
(50%)	Krisztina Zajdó	PhD	2002
	Zoltán Juhász	PhD	1998	DSI-BME

completed course requirement:

Annamária Lénártné Kovács

(PhD)

2018/01

DSEE

Thesis topic proposals

Research
research area	speech acoustics, digital speech processing, phonetics
research field in which current research is conducted	electrical engineering linguistics

Publications

2022

Sztahó Dávid, Jenei Attila Zoltán, Valálik István, Vicsi Klára: The Effect of Speech Fragmentation and Audio Encodings on Automatic Parkinson’s Disease Recognition, JOURNAL OF BIOMEDICAL SCIENCE AND ENGINEERING 15: (01) pp. 6-25.
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
language: English
URL

2019

Kiss Gábor, Sztahó Dávid, Vicsi Klára: Depression State Assessment: Application for detection of depression by speech, In: Kubin, Gernot; Kačič, Zdravko (szerk.) The 20th Annual Conference of the International Speech Communication Association (Interspeech 2019), International Speech Communication Association (ISCA) (2019) pp. 966-967.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English

2019

Tulics Miklós Gábriel, Vicsi Klára: The automatic assessment of the severity of dysphonia, INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY 22: (2) pp. 341-350.
type of document: Journal paper/Article
number of independent citations: 4
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: 12
language: English
URL

2017

Kiss Gábor, Vicsi Klára: Mono- and multi-lingual depression prediction based on speech processing, INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY 20: (4) pp. 919-935.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL

2014

Sztahó Dávid, Vicsi Klára: Speech activity detection and automatic prosodic processing unit segmentation for emotion recognition, INTELLIGENT DECISION TECHNOLOGIES 8: (4) pp. 315-324.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL

2013

Andics Attila, Gál V, Vicsi K, Rudas G, Vidnyánszky Z: FMRI repetition suppression for voices is modulated by stimulus expectations, NEUROIMAGE 69: pp. 277-283.
type of document: Journal paper/Article
number of independent citations: 24
language: English
URL

2012

Vicsi K, Sztahó D: Recognition of emotions on the basis of different levels of speech segments, JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 16: (2) pp. 335-340.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL

2010

Vicsi K, Szaszák Gy: Using prosody to improve automatic speech recognition, SPEECH COMMUNICATION 52: (5) pp. 413-426.
type of document: Journal paper/Article
number of independent citations: 32
language: English
URL

Number of independent citations to these publications:

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

186

number of scientific publications:

166

monographs and professional books:

monographs/books in which chapters/sections were contributed:

art/engineering creative works:

scientific publications published abroad that meet the accreditation criteria:

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

531

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).