Automatic Language Identification Using Deep Neural Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU111953" target="_blank" >RIV/00216305:26230/14:PU111953 - isvavai.cz</a>

Result on the web

<a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2014/lopez_moreno_icassp2014_p5374.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2014/lopez_moreno_icassp2014_p5374.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICASSP.2014.6854622" target="_blank" >10.1109/ICASSP.2014.6854622</a>

Result language

angličtina

Original language name

Automatic Language Identification Using Deep Neural Networks

Original language description

In this work, we experimented with the use of deep neural networks (DNNs) to automatic language identification (LID). Guided by the success of DNNs for acoustic modelling, we explored their capability to learn discriminative language information from speech signals.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

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

Article name in the collection

Proceeding of ICASSP 2014

ISBN

978-1-4799-2892-7

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

5374-5378

Publisher name

IEEE Signal Processing Society

Place of publication

Florencie

Event location

Florencie

Event date

May 4, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000343655305074