Thesis Details

Akustická detekce pozice řečníka pomocí mikrofonního pole

Master's Thesis Student: Pelz Zdeněk Academic Year: 2018/2019 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Acoustic Detection of Speaker Position Using Microphone Array
Language
Czech
Abstract

This thesis explores problematics of speaker localization using microphone array. Aim ofthis thesis is implementation of algorithms for speaker localization and experiments withthose algorithms. Calculation of TDOA was done using cross-correlation and hyperbolicmethod was used to calculate position estimation. Finished microphone array is able to locate speaker within certain variance. Results of this thesis allow reader to make assumptionsregarding accuracy of localisation using microphone array and ARM kit with limited performance. Precision of position estimation using microphone array reached several decimeters,but this precision is dependent on distance from microphone array.

Keywords

microphone array, TDOA, acoustic localization, hyperbolic method, cross-correlation

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade C
Date
18 June 2019
Reviewer
Novotný Ondřej, Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Janoušek Jan, doc. Ing., Ph.D. (FIT CTU), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
PELZ, Zdeněk. Akustická detekce pozice řečníka pomocí mikrofonního pole. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-18. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/20490/
BibTeX 
@mastersthesis{FITMT20490,
    author = "Zden\v{e}k Pelz",
    type = "Master's thesis",
    title = "Akustick\'{a} detekce pozice \v{r}e\v{c}n\'{i}ka pomoc\'{i} mikrofonn\'{i}ho pole",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/20490/"
}

Theses

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