On the use of deep feedforward neural networks for automatic language identification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121639" target="_blank" >RIV/00216305:26230/16:PU121639 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S088523081530036X" target="_blank" >http://www.sciencedirect.com/science/article/pii/S088523081530036X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.csl.2016.03.001" target="_blank" >10.1016/j.csl.2016.03.001</a>

Result language
angličtina
Original language name
On the use of deep feedforward neural networks for automatic language identification
Original language description
In this work, we presented an extensive study of the use of deep neural networks for LID. Guided by the success of DNNs for acoustic modelling, we explored their capability to learn discriminative language information from speech signals.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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