Thesis Details

Detekce změny jazyka při hovoru

Master's Thesis Student: Povolný Filip Academic Year: 2014/2015 Supervisor: Matějka Pavel, Ing., Ph.D.
English title
Code Switching Detection in Speech
Language
Czech
Abstract
This master's thesis deals with code-switching detection in speech. The state-of-the-art methods of language diarization are described in the first part of the thesis. The proposed method for implementation is based on acoustic approach to language identification using combination of GMM, i-vector and LDA. New Mandarin-English code-switching database was created for these experiments. Using this system, accuracy of 89,3 % is achieved on this database.
Keywords

code switching, language diarization, language identification, language recognition

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade A
Date
24 June 2015
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Vranić Valentino, doc. Ing., Ph.D. (FIIT STU), člen
Citation
POVOLNÝ, Filip. Detekce změny jazyka při hovoru. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Matějka Pavel. Available from: https://www.fit.vut.cz/study/thesis/17561/
BibTeX
@mastersthesis{FITMT17561,
    author = "Filip Povoln\'{y}",
    type = "Master's thesis",
    title = "Detekce zm\v{e}ny jazyka p\v{r}i hovoru",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17561/"
}
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