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中图分类法:
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TN912.34 版次： |
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著者:
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Sreenivasa Rao, K. |
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题名:
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Robust speaker recognition in noisy environments / / , |
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出版发行:
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出版地： Cham : 出版社： Springer, 出版日期： c2014. |
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载体形态:
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xii, 139 p. : ill. (some col.) ; 24 cm. |
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内容提要:
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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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主题词:
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Automatic speech recognition. |
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主要责任者:
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Sarkar, Sourjya. |
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索书号:
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1 |