Basic information about a final thesis
|Type of thesis:|
Automatic speech recognition
Written by (author):
|Bc. Pavol Andrášik|
|Thesis supervisor:||Ing. Juraj Kačur, PhD.|
Final thesis progress:
|Final thesis was successfully defended.|
Additional informationAdditional information about the final thesis follows. Click on the language link to display the information in the desired language.
|Language of final thesis:|
Title of the thesis:
|Automatic speech recognition|
|Summary:||The goal of my bachelor's work was to get familiar with basic principles and processes of automatic speech recognition. The first part was dedicated to theoretical and mathematical description of hidden Markov models, which ASR works with. The second part is dedicated to recognition of numbers by using different types of parameterization, the comparison of parameterization and evaluation. I have compared MFCC and PLP parameterization, in evaluation I have found out that PLP parameterization works better.|
MFCC, PLP, parameterization, Markov models
|Current level of public release|
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