Thesis Details

Vyhledávání v záznamech řeči

Master's Thesis Student: Fapšo Michal Academic Year: 2006/2007 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Searching in Speech Data
Language
Czech
Abstract

This thesis describes a designed and implemented system for efficient storage, indexing and search in collections of spoken documents that takes advantage of automatic speech recognition. As the quality of current speech recognizers is not sufficient for a great deal of applications, it is necessary to index the ambiguous output of the recognition, i.\,e. the acyclic graphs of word hypotheses -- recognition lattices. Then, it is not possible to directly apply the standard methods known from text--based systems. This paper discusses an optimized indexing system for efficient search in the complex and large data structures which are the output of the recognizer.

Keywords

Search, search in speech, search in lattices, indexing, lattice indexing, phoneme search, LVCSR search

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade A
Date
20 June 2007
Reviewer
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Šlapal Josef, prof. RNDr., CSc. (DADM FME BUT), člen
Citation
FAPŠO, Michal. Vyhledávání v záznamech řeči. 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/4952/
BibTeX
@mastersthesis{FITMT4952,
    author = "Michal Fap\v{s}o",
    type = "Master's thesis",
    title = "Vyhled\'{a}v\'{a}n\'{i} v z\'{a}znamech \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/4952/"
}
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