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Robust Speaker Recognition in Noisy Environments
Rao, K. Sreenivasa; Sarkar, Sourjya
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Description for Robust Speaker Recognition in Noisy Environments
Paperback. Series: Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology. Num Pages: 139 pages, 6 black & white illustrations, 25 colour illustrations, 19 black & white tables, biograph. BIC Classification: TTBM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 290.
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. ... Read more
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. ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
139
Condition
New
Series
Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology
Number of Pages
139
Place of Publication
Cham, Switzerland
ISBN
9783319071299
SKU
V9783319071299
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Rao, K. Sreenivasa; Sarkar, Sourjya
K. Sreenivasa Rao, Associate Professor, School of Information Technology, Indian Institute of Technology Kharagpur (IIT Kharagpur). Sourjya Sarkar is a graduate student at the Indian Institute of Technology Kharagpur.
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