Thesis Details

Přidávání nových slov v dynamickém dekodéru pro rozpoznávání řeči

Bachelor's Thesis Student: Škrdlík Kryštof Academic Year: 2021/2022 Supervisor: Schwarz Petr, Ing., Ph.D.
English title
Adding New Words in a Dynamic Speech Recognition Decoder
Language
Czech
Abstract

The result of this thesis is a modified speech recognizer developed by the company Phonexia, in which new words that are not part of its dictionary can be added dynamically. The chosen method that was implemented works by inserting finite automata with new words directly into a modified static recognition network describing combined language and pronunciation model of the recognizer in places that are specified in advance. This method offers comparable results with a speech recognizer without modification.

Keywords

Decoder, voice recognition, OOV, unknown words, recognition network, HCLG composition

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
15 June 2022
Reviewer
Veselý Karel, Ing., Ph.D.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Citation
ŠKRDLÍK, Kryštof. Přidávání nových slov v dynamickém dekodéru pro rozpoznávání řeči. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-15. Supervised by Schwarz Petr. Available from: https://www-dev.fit.vutbr.cz/study/thesis/25185/
BibTeX 
@bachelorsthesis{FITBT25185,
    author = "Kry\v{s}tof \v{S}krdl\'{i}k",
    type = "Bachelor's thesis",
    title = "P\v{r}id\'{a}v\'{a}n\'{i} nov\'{y}ch slov v dynamick\'{e}m dekod\'{e}ru pro rozpozn\'{a}v\'{a}n\'{i} \v{r}e\v{c}i",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25185/"
}

Theses

Back to top