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Robust speaker recognition in noisy environments [electronic resource]
- 作者： Rao, K. Sreenivasa.
- 其他作者：
- 其他題名：
- SpringerBriefs in electrical and computer engineering
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： SpringerBriefs in electrical and computer engineering
- 主題： Automatic speech recognition , Engineering , Signal, Image and Speech Processing.
- ISBN： 9783319071305 (electronic bk.) 、 9783319071299 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
-
讀者標籤：
- 系統號： 005120601 | 機讀編目格式
館藏資訊
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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