Thesis Details

Fixed-point implementace rozpoznávače řeči

Master's Thesis Student: Král Tomáš Academic Year: 2006/2007 Supervisor: Burget Lukáš, doc. Ing., Ph.D.
English title
Fixed-Point Implementation Speech Recognizer
Language
Czech
Abstract

Master thesis is related to the problematics of automatic speech recognition on systems with restricted hardware resources - embedded systems. The object of this work was to design and implement speech recognition system on embedded systems, that do not contain floating-point processing units. First objective was to choose proper hardware architecture. Based on the knowledge of available HW resources, the recognition system design was made. During the system development, optimalization was made on constituent elements so they could be mounted on chosen HW. The result of the the project is successful recognition of Czech numerals on embedded system.

Keywords

speech recognition, embedded systems, DSP, fix-point recognition, Viterbi algorithm, Hidden Markov Models, MFCC, feature extraction

Department
Degree Programme
Electrical Engineering and Computer Science, Field of Study Computer Science and Engineering
Files
Status
defended, grade A
Date
23 February 2007
Reviewer
Citation
KRÁL, Tomáš. Fixed-point implementace rozpoznávače řeči. Brno, 2007. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2007-02-23. Supervised by Burget Lukáš. Available from: https://www.fit.vut.cz/study/thesis/5305/
BibTeX
@mastersthesis{FITMT5305,
    author = "Tom\'{a}\v{s} Kr\'{a}l",
    type = "Master's thesis",
    title = "Fixed-point implementace rozpozn\'{a}va\v{c}e \v{r}e\v{c}i",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2007,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/5305/"
}
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