Robustness-Related Issues in Speaker Recognition

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Technology, Electronics
Cover of the book Robustness-Related Issues in Speaker Recognition by Thomas Fang Zheng, Lantian Li, Springer Singapore
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Author: Thomas Fang Zheng, Lantian Li ISBN: 9789811032387
Publisher: Springer Singapore Publication: April 6, 2017
Imprint: Springer Language: English
Author: Thomas Fang Zheng, Lantian Li
ISBN: 9789811032387
Publisher: Springer Singapore
Publication: April 6, 2017
Imprint: Springer
Language: English

This book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and its development history. Secondly, with regard to robustness issues, the book presents three categories, including environment-related issues, speaker-related issues and application-oriented issues. For each category, the book describes the current hot topics, existing technologies, and potential research focuses in the future. The book is a useful reference book and self-learning guide for early researchers working in the field of robust speech recognition.

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This book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and its development history. Secondly, with regard to robustness issues, the book presents three categories, including environment-related issues, speaker-related issues and application-oriented issues. For each category, the book describes the current hot topics, existing technologies, and potential research focuses in the future. The book is a useful reference book and self-learning guide for early researchers working in the field of robust speech recognition.

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