Thesis Details

Vícejazykový fonémový rozpoznávač

Master's Thesis Student: Vobr Vojtěch Academic Year: 2006/2007 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Multilingual Phoneme Recognizer
Language
Czech
Abstract

Aim, of this master thesis is training of phoneme recognizer with phoneme set, which have been made by merging of several phoneme sets, which are containted in SpeechDat-E database and find out if this kind of recognizer will have better results than recognizers which were trained on one language. This work also deals with phoneme sets, principles of phoneme recognition using recognizers based on artifical neural networks, language identification and merging of given phoneme sets. Also is described process of training phoneme recognizer and phoneme recognition.

Keywords

Phonemes, IPA, International Phonetic Alphabet, SAMPA, LID, Language identification, PRML, PPRLM, HTK, STK, Phoneme recognizing, Merging of phoneme sets, Neural networks

Department
Degree Programme
Information Technology, Field of Study Computer Systems and Networks
Files
Status
defended, grade C
Date
20 June 2007
Reviewer
Committee
Dvořák Václav, prof. Ing., DrSc. (DCSY FIT BUT), předseda
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), člen
Kotásek Zdeněk, doc. Ing., CSc. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Racek Stanislav, doc. Ing., CSc. (WBU in Pilsen), člen
Citation
VOBR, Vojtěch. Vícejazykový fonémový rozpoznávač. Brno, 2007. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2007-06-20. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/4950/
BibTeX
@mastersthesis{FITMT4950,
    author = "Vojt\v{e}ch Vobr",
    type = "Master's thesis",
    title = "V\'{i}cejazykov\'{y} fon\'{e}mov\'{y} rozpozn\'{a}va\v{c}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2007,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/4950/"
}
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