Electronic Resource

Robust Speaker Recognition in Noisy Environments

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000205	EB0000316	006.454 Sar r	Central Library	Available

Detail Information

Series Title

SpringerBriefs in Speech Technology

Call Number

006.454 Sar r

Publisher

Switzerland : Springer Cham., 2014

Collation

xiiI, 139.: III.

Language

Indonesia

ISBN/ISSN

978-3-319-07130-5

Classification

006.454

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Engineering
Automatic speech recognition

Specific Detail Info

-

Statement of Responsibility

RIZAL

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