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personal data approved: 2016. II. 15.
Personal data
name László Tóth
year of birth 1972
name of institution
doctoral school
SzTE PhD School in Computer Science (Announcer of research topic)
Contact details
E-mail address tothlinf.u-szeged.hu
phone number +36 62 544-142
Academic title
scientific degree, title Ph.D.
year degree was obtained 2007
discipline to which degree belongs mathematics and computing
institution granting the degree Szegedi Tudományegyetem (to be translated)
Employment
1995 - MTA-SZTE Mesterséges Intelligencia Kutatócsoport (research institute, not university)
Thesis topic supervisor
number of doctoral students supervised until now 1.5
number of students who fulfilled course requirements 0.5
students who obtained their degrees:
completed course requirement, without degree or degree granting in process:
György Kovács (PhD) 2013/08  IDI2-SzTE
Tamás Grósz (PhD) 2016/08  IDI2-SzTE
  Thesis topic proposals
Research
research area Speech recognition, digital signal processing, machine learning, statistical pattern recognition
research field in which current research is conducted mathematics and computing
computer sciences
Publications
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: Interspeech 2015 - Proceedings of the 16th Annual Conference of the International Speech Communication Association.Drezda, Németország, 2015.09.06-2015.09.10. ISCA, pp. 2694-2698. Kiadvány: ISCA, 2015.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
URL 
2014

Tóth L: Convolutional deep maxout networks for phone recognition, In:Szerk.: Haizhou Li, Szerk.: Helen Meng, Szerk.: Bin Ma, Szerk.: Eng Siong Chng, Szerk.: Lei Xie INTERSPEECH 2014 : Celebrating the Diversity of Spoken Languages: 15th Annual Conference of the International Speech Communication Association.Singapore, Szingapúr, 2014.09.14-2014.09.18. Singapore: ISCA, pp. 1078-1082. Kiadvány: Singapore: ISCA, 2014.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
URL 
2014

Tóth L: Combining time- and frequency-domain convolution in convolutional neural network-based phone recognition, In: Szerk.: IEEE Signal Processing Society IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). Piscataway, N.J.; Leuven: IEEE Signal Processing Society; European Association for Signal Processing (EURASIP), 2014. pp. 190-194.
type of document: Part of book/Proceedings Paper
language: English
DOI 
2014

Kovács G, Tóth L, Grósz T: Robust multi-band asr using deep neural nets and spectro-temporal features, LECTURE NOTES IN COMPUTER SCIENCE 8773: pp. 386-393.
type of document: Journal paper/Article
language: English
URL 
2014

Kovács G, Tóth L, Van Compernolle D: Selection and enhancement of Gabor filters for automatic speech recognition, INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY 18: (1) pp. 1-16.
type of document: Journal paper/Article
language: English
DOI 
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 Interspeech 2008.Brisbane, Ausztrália, 2008.09.22-2008.09.26. pp. 2695-2698. Kiadvány: 2008.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 20
language: English
2007

Tóth L, Kocsor A: A segment-based interpretation of HMM/ANN hybrids, COMPUTER SPEECH AND LANGUAGE 21: pp. 562-578.
type of document: Journal paper/Article
number of independent citations: 2
language: English
2005

Tóth L, Kocsor A: Training HMM/ANN hybrid speech recognizers by probabilistic sampling, LECTURE NOTES IN COMPUTER SCIENCE 3696: pp. 597-603.
type of document: Journal paper/Article
number of independent citations: 3
language: English
2004

Kocsor A, Tóth L: Kernel-Based Feature Extraction with a Speech Technology Application, IEEE TRANSACTIONS ON SIGNAL PROCESSING 52: (8) pp. 2250-2263.
type of document: Journal paper/Article
number of independent citations: 48
language: English
2000

Kocsor A, Tóth L, Kuba Jr A, Kovács K, Jelasity M, Gyimóthy T, Csirik J: A Comparative Study of Several Feature Transformation and Learning Methods for Phoneme Classification, INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY 3: (4) pp. 263-276.
type of document: Journal paper/Article
number of independent citations: 9
language: English
DOI 
Number of independent citations to these publications:82 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
83
number of scientific publications:
84
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
215

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2318 ( 2016. XI. 26. )