Thesis Details

Detekce témat z mluvené řeči

Bachelor's Thesis Student: Škeřík Zdeněk Academic Year: 2014/2015 Supervisor: Schwarz Petr, Ing., Ph.D.
English title
Topic Detection from Spoken Speech
Language
Czech
Abstract

This thesis is about topic detection from spoken speech. The first part of the thesis deals with speech transcription to text. The thesis describes two different solutions of the topic detection - a machine learning based solution and an expert solution that composes a very precise query describing the document topic. Both methods are tested on a set of recordings and compared.

Keywords
Topic detection, exactly asked query, spoken speech, speech technologies, speech transcription, Phonexia.
Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
17 June 2015
Reviewer
Szőke Igor, Ing., Ph.D.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Kotásek Zdeněk, doc. Ing., CSc. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
ŠKEŘÍK, Zdeněk. Detekce témat z mluvené řeči. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-17. Supervised by Schwarz Petr. Available from: https://www.fit.vut.cz/study/thesis/17146/
BibTeX 
@bachelorsthesis{FITBT17146,
    author = "Zden\v{e}k \v{S}ke\v{r}\'{i}k",
    type = "Bachelor's thesis",
    title = "Detekce t\'{e}mat z mluven\'{e} \v{r}e\v{c}i",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17146/"
}

Theses

Back to top