| Robust Speaker Recognition in Noisy Environments 2014 Edition Contributor(s): Rao, K. Sreenivasa (Author), Sarkar, Sourjya (Author) |
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ISBN: 3319071297 ISBN-13: 9783319071299 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: July 2014 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Technology & Engineering | Telecommunications - Technology & Engineering | Signals & Signal Processing |
| Dewey: 621.382 |
| Series: Springerbriefs in Speech Technology |
| Physical Information: 0.33" H x 6.14" W x 9.21" (0.49 lbs) 139 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |