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Title:Algoritmi za reševanje treh osnovnih problemov prikritih markovskih modelov
Authors:ID Donaj, Gregor (Author)
ID Benkovič, Dominik (Mentor) More about this mentor... New window
Files:.pdf UNI_Donaj_Gregor_2011.pdf (573,75 KB)
MD5: F9F50EA62CC1601F107F9804BE60E2E3
PID: 20.500.12556/dkum/cd67d6b2-c2c3-4e95-941c-40616ad4e8b7
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:V diplomski nalogi se obravnavajo prikriti markovski modeli, ki se v praksi uporabljajo predvsem na področju razpoznavanja govora. Opisani so osnovni pojmi modelov in trije osnovni z njimi povezani problemi: problem ocenjevanja, problem dekodiranja in problem učenja. Opisane so metode za reševanje teh problemov za diskretne in zvezne prikrite markovske modele. Na kratko je opisana tudi uporaba prikritih markovskih modelov v razpoznavanju govora na primeru enostavne aplikacije razpoznavanja izoliranih besed z majhnim slovarjem.
Keywords:prikriti markovski modeli, algoritem naprej, algoritem nazaj, Viterbijev algoritem, Baum-Welchev algoritem, Viterbijevo učenje, avtomatsko razpoznavanje govora
Place of publishing:Maribor
Publisher:[G. Donaj]
Year of publishing:2011
PID:20.500.12556/DKUM-18847 New window
UDC:51(043.2)
COBISS.SI-ID:18488328 New window
NUK URN:URN:SI:UM:DK:MNOIDF9N
Publication date in DKUM:27.06.2011
Views:2874
Downloads:197
Metadata:XML DC-XML DC-RDF
Categories:FNM
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Secondary language

Language:English
Title:Solution algorithms for the three fundamental problems of hidden Markov models
Abstract:This paper presents hidden Markov models, which are in practice mostly used in speech recognition. Basic terms of the models and their tree fundamental problems: the evaluation, the decoding and the training problem are described. So are methods for solving them in the cases of discrete and continuous Markov models. A short description of the use of hidden Markov models in speech recognition is also presented on the example application of small vocabulary isolated word recognition.
Keywords:hidden Markov models, forward algorithm, backward algorithm, Viterbi algorithm, Baum-Welch algorithm, Viterbi learning, automatic speech recognition


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