Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
AKUSTIČNA PODOBNOST BESED PRI AVTOMATSKEM RAZPOZNAVANJU GOVORA
Authors:
ID
Vodopivc, Nina
(Author)
ID
Žgank, Andrej
(Mentor)
More about this mentor...
ID
Sepesy Maučec, Mirjam
(Comentor)
Files:
UNI_Vodopivc_Nina_2011.pdf
(1,32 MB)
MD5: 7073F278BC39B5E3D7F3FDDF5C46AF88
PID:
20.500.12556/dkum/0aeba8a3-1dd3-4506-8904-de614867caa4
Language:
Slovenian
Work type:
Bachelor thesis/paper
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu smo izdelali program, ki na izhodu poda ocene akustične podobnosti besed na podlagi Levenshteinove razdalje. Za pisanje programske kode smo uporabili prosto dostopno programsko okolje NetBeans IDE 6.9.1. Uporabili smo tudi prosto dostopno orodje HTK, kjer smo na realnem modelu razpoznavalnika govora s pripravo dveh testnih scenarijev izračunali rezultate razpoznavanja govora za dva različna nabora besed. Za vsak nabor smo izvedli več eksperimentov. Rezultate obeh scenarijev smo primerjali in ocenili vpliv akustične podobnosti besed na uspešnost razpoznavanja govora.
Keywords:
komunikacija človek stroj
,
avtomatski razpoznavalnik govora
,
akustično modeliranje
Place of publishing:
Maribor
Publisher:
[N. Vodopivc]
Year of publishing:
2011
PID:
20.500.12556/DKUM-20102
UDC:
621.391:004.93(043.2)
COBISS.SI-ID:
15758614
NUK URN:
URN:SI:UM:DK:2ZQ5ECSN
Publication date in DKUM:
31.01.2012
Views:
1923
Downloads:
126
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
VODOPIVC, Nina, 2011,
AKUSTIČNA PODOBNOST BESED PRI AVTOMATSKEM RAZPOZNAVANJU GOVORA
[online]. Bachelor’s thesis. Maribor : N. Vodopivc. [Accessed 30 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=20102
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
On integer domination in graphs and Vizing-like problems
Povezanost kartezičnih produktov grafov
Fair reception and Vizing's conjecture
The k-independence number of direct products of graphs and Hedetniemi's conjecture
Vizing's conjecture: a survey and recent results
Similar works from other repositories:
Dominacijske igre
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
AUTOMATIC SPEECH RECOGNITION AND ACOUSTIC CONFUSABILITY OF WORDS
Abstract:
In diploma work we have created a program, which calculates an estimation of acoustic confusability of words based on Levenshtein distance. An open source software environment NetBeans IDE 6.9.1 was used for developing a program code. We also used a freeware HTK toolkit, which provided us results of recognition for two different sets of words on realistic model of automatic speech recogniser. For each set of words different experiments were run. We compared results from both scenarios, described them and estimated influence of acoustic confusability of words on accuracy of speech recognition.
Keywords:
human-computer interaction
,
automatic speech recognition
,
acoustic modeling
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
