Neural Network Bottleneck Features for Language Identification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112035" target="_blank" >RIV/00216305:26230/14:PU112035 - isvavai.cz</a>

Result on the web

<a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2014/matejka_odyssey2014_299-304-35.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2014/matejka_odyssey2014_299-304-35.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural Network Bottleneck Features for Language Identification

Original language description

We have presented the bottleneck features in the context of Language identification. It combines benefits of both phonotactic and acoustic system. Usually, the phonotactic system is favorable for the long duration files, while acoustic for the short ones. This approach takes the advantage of both. In addition, we can also use modeling of context dependent phonemes in bottleneck features. This brings very nice improvement over the context independent phonemes.

Czech name

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Czech description

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Type

D - Article in proceedings

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

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of Odyssey 2014

ISBN

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ISSN

2312-2846

e-ISSN

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Number of pages

6

Pages from-to

299-304

Publisher name

International Speech Communication Association

Place of publication

Joensuu

Event location

Joensuu

Event date

Jun 16, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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