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001 -Identificacion Principal del registro
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Identificacion Principal del registro
INGC-EBK-000552
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003 -Control Number Identifier
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Control Number Identifier
AR-LpUFI
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005 -LAST MODIFICATION DATE
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LAST MODIFICATION DATE
20160902113914
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007 -CONTROL FIELD
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CONTROL FIELD
cr nn 008mamaa
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008 -CONTROL FIELD
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CONTROL FIELD
140621s2014 gw | s |||| 0|eng d
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020 -INTERNATIONAL STANDARD BOOK NUMBER
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a
International Standard Book Number
9783319071305
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024 -OTHER STANDARD IDENTIFIER
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a
Standard number or code
10.1007/978-3-319-07130-5
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100 -MAIN ENTRY--PERSONAL NAME
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a
Personal name
Rao, K. Sreenivasa.
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245 -TITLE STATEMENT
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a
Title
Robust Speaker Recognition in Noisy Environments
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h
Medium
[libro electrónico] /
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c
Statement of responsibility, etc
by K. Sreenivasa Rao, Sourjya Sarkar.
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260 -PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
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a
Place of publication, distribution, etc
Cham :
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b
Name of publisher, distributor, etc
Springer International Publishing :
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b
Name of publisher, distributor, etc
Imprint: Springer,
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c
Date of publication, distribution, etc
2014.
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300 -PHYSICAL DESCRIPTION
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a
Extent
xii, 139 p. :
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b
Other physical details
il.
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490 -SERIES STATEMENT
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a
Series statement
SpringerBriefs in Electrical and Computer Engineering,
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International Standard Serial Number
2191-8112
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505 -FORMATTED CONTENTS NOTE
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a
Formatted contents note
Robust Speaker Verification â_" A Review -- Speaker Verification in Noisy Environments using Gaussian Mixture Models -- Stochastic Feature Compensation for Robust Speaker Verification -- Robust Speaker Modeling for Speaker Verification in Noisy Environments.
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520 -SUMMARY, ETC.
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a
Summary, etc
This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Engineering.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Signal, Image and Speech Processing.
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700 -ADDED ENTRY--PERSONAL NAME
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a
Personal name
Sarkar, Sourjya.
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856 -ELECTRONIC LOCATION AND ACCESS
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u
Uniform Resource Identifier (R)
http://dx.doi.org/10.1007/978-3-319-07130-5
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942 -Biblioitem information
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929 -Medio de adquisicion
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