Fisher Vectors in PLDA Speaker Verification System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929968" target="_blank" >RIV/49777513:23520/16:43929968 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSP.2016.7878044" target="_blank" >http://dx.doi.org/10.1109/ICSP.2016.7878044</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSP.2016.7878044" target="_blank" >10.1109/ICSP.2016.7878044</a>
Alternative languages
Result language
angličtina
Original language name
Fisher Vectors in PLDA Speaker Verification System
Original language description
The goal of this paper is to examine the Fisher Vec- tor and incorporate this vector in the PLDA based speaker veri- fication system. The PLDA based system utilizes the Supervector of Statistics extracted from a Gaussian Mixture Model (adopted from the speaker adaptation task) to collect the information about a speaker from a dataset. We compare the efficiency of the PLDA based speaker verification system using Supervector of Statistics and the same system with Fisher vector. The experimental results of these two approaches to the verification task and the fusion of these two systems indicate that the Fisher Vector brings almost the same information to the PLDA verification process as the Supervector of Statistics when sufficient data are available.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The IEEE 13th International Conference on Signal Processing (ICSP 2016)
ISBN
978-1-5090-1345-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1338-1341
Publisher name
IEEE
Place of publication
New York
Event location
Chengdu, China
Event date
Nov 6, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000406056300260