Optimizing dictionary learning parameters for solving Audio Inpainting problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU101473" target="_blank" >RIV/00216305:26220/13:PU101473 - isvavai.cz</a>
Result on the web
<a href="http://www.ijates.org/index.php/ijates/article/view/34/32" target="_blank" >http://www.ijates.org/index.php/ijates/article/view/34/32</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Optimizing dictionary learning parameters for solving Audio Inpainting problem
Original language description
Recovering missing or distorted audio signal samples has been recently improved by solving an Audio Inpainting problem. This paper aims to connect this problem with K-SVD dictionary learning to improve reconstruction error for missing signal insertion problem. Our aim is to adapt an initial dictionary to the reliable signal to be more accurate in missing samples estimation. This approach is based on sparse signals reconstruction and optimization problem. In the paper two staple algorithms, connection between them and emerging problems are described. We tried to find optimal parameters for efficient dictionary learning.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/NT13499" target="_blank" >NT13499: Speech, its impairment and cognitive performance in Parkinson's disease</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems
ISSN
1805-5443
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
40-45
UT code for WoS article
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EID of the result in the Scopus database
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