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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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