Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121659" target="_blank" >RIV/00216305:26230/16:PU121659 - isvavai.cz</a>

Result on the web

<a href="http://www.odyssey2016.org/papers/pdfs_stamped/63.pdf" target="_blank" >http://www.odyssey2016.org/papers/pdfs_stamped/63.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Odyssey.2016-4" target="_blank" >10.21437/Odyssey.2016-4</a>

Result language

angličtina

Original language name

Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification

Original language description

This article is about deep neural networks and hidden Markov models in i-vector-based text-dependent speaker verification.

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

<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

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

Article name in the collection

Proceedings of Odyssey 2016, The Speaker and Language Recognition Workshop

ISBN

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ISSN

2312-2846

e-ISSN

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Number of pages

7

Pages from-to

24-30

Publisher name

International Speech Communication Association

Place of publication

Bilbao

Event location

Bilbao

Event date

Jun 21, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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