On Complementarity of State-of-the-art Speaker Recognition Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43916022" target="_blank" >RIV/49777513:23520/12:43916022 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On Complementarity of State-of-the-art Speaker Recognition Systems
Original language description
In this paper recent methods used in the task of Speaker Recognition (SR) are reviewed and their complementarity is analysed. At first, methods based on Supervectors (SVs) related to Gaussian Mixture Models (GMMs) and Support Vector Machines (SVMs) usedas a discriminative model are described along with the Nuisance Attribute Projection (NAP). NAP was proposed to suppress undesirable influences of high channel variabilities between several sessions of a speaker. Next, recent methods focusing on the extraction of so called i-vectors (low dimensional representations of GMM based SVs) are discussed. The space in which i-vectors lie is denoted the Total Variability Space (TVS) since it contains both between-speaker and session/channel variabilities. Once i-vectors have been extracted a Probabilistic Linear Discriminant Analysis (PLDA) model is trained in the TVS. In the training phase of PLDA the TVS is decomposed to a channel and a speaker subspace, hence each i-vector is supposed to be c
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Symposium on Signal Processing and Information Technology
ISBN
978-1-4673-5604-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
Institute of Electrical and Electronics Engineers ( IEEE )
Place of publication
Neuveden
Event location
Vietnam, Ho Chi Minh City
Event date
Dec 12, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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