Robust Neural Network-Based Estimation of Articulatory Features for Czech
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221424" target="_blank" >RIV/68407700:21230/14:00221424 - isvavai.cz</a>
Result on the web
<a href="http://nnw.cz/obsahy14.html#5-2014" target="_blank" >http://nnw.cz/obsahy14.html#5-2014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/NNW.2014.24.027" target="_blank" >10.14311/NNW.2014.24.027</a>
Alternative languages
Result language
angličtina
Original language name
Robust Neural Network-Based Estimation of Articulatory Features for Czech
Original language description
The article describes a neural network-based articulatory feature (AF) estimation for the Czech speech. First, the relationship between AFs and a Czech phone inventory is defined, and then the estimation based on the MLP neural networks is done. The usage of several speech representations on the input of the MLP classifiers is proposed with the purpose to obtain a robust AF estimation. The realized experiments have proved that an ANN- based AF estimation works very reliably especially in a low noise environment. Moreover, in case the number of neurons in a hidden layer is increased and if the temporal context DCT-TRAP features are used on the input of the MLP network, the AF classification works accurately also for the signals collected in the environments with a high background noise.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neural Network World
ISSN
1210-0552
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
5
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
16
Pages from-to
463-478
UT code for WoS article
000344832300003
EID of the result in the Scopus database
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