Can I read Robust Speaker Recognition in Noisy Environments (SpringerBriefs in Speech Technology) on EtoBox?

Robust Speaker Recognition in Noisy Environments (SpringerBriefs in Speech Technology) by K. Sreenivasa Rao, Sourjya Sarkar (auth.) is a nonfiction available to read on EtoBox.

What is Robust Speaker Recognition in Noisy Environments (SpringerBriefs in Speech Technology) about?

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. Erscheinungsdatum: 17.07.2014

Who reads Robust Speaker Recognition in Noisy Environments (SpringerBriefs in Speech Technology)?

Author

K. Sreenivasa Rao, Sourjya Sarkar (auth.)

Publisher

Springer International Publishing : Imprint : Springer

Published

2014

Language

EN

ISBN

9783319071305

Category

nonfiction

Subjects

Engineering, Computer Science, Electrical & Electronic Engineering