SpringerBriefs in Signal Processing

Robustness-Related Issues in Speaker Recognition

Authors: Zheng, Thomas Fang, Li, Lantian

Free Preview
  • Exhaustively reviews the key recent research into state-of-the-art speaker recognition technologies
  • Simplifies a complicated picture of the robustness issues in speaker recognition in three main categories
  • Covers the current hot topics, existing technologies and potential future developments of each category
see more benefits

Buy this book

eBook 46,00 €
price for India (gross)
  • ISBN 978-981-10-3238-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 54,99 €
price for India (gross)
  • ISBN 978-981-10-3237-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book


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.

About the authors


Thomas Fang Zheng (M'99-SM'06) received his Ph.D. degree in computer science and technology from Tsinghua University, Beijing, China, in 1997. He is now a Research Professor and Director of the Centre for Speech and Language Technologies, Tsinghua University. His research focuses on speech and language processing. He has published more than 250 papers and plays active roles in a number of communities, including the Chinese Corpus Consortium (council chair), the Standing Committee of China’s National Conference on Man-Machine Speech Communication (chair), Subcommittee 2 on Human Biometrics Application of Technical Committee 100 on Security Protection Alarm Systems of Standardization Administration of China (deputy director), the Asia-Pacific Signal and Information Processing Association (APSIPA) (Vice-President and Distinguished Lecturer 2012-2013), Chinese Information Processing Society of China (council member and Speech Information Subcommittee Chair), the Acoustical Society of China (council member), and the Phonetic Association of China (council member). He was an Associate Editor of the IEEE Transactions on Audio, Speech and Language Processing and the APSIPA Transactions on Signal and Information Processing. He is also on the editorial board of Speech Communication, Journal of Signal and Information Processing, Springer Briefs in Signal Processing, and the Journal of Chinese Information Processing, etc.

Lantian Li received his B.Sc. degree in China University of Mining and Technology, Beijing in 2013. Since 2013, he has been with the Centre for Speech and Language Technology (CSLT), Tsinghua university as a PhD student. His research interest is speaker recognition with machine learning methods. In May 2016, He received the first-class excellent PhD student award of RIIT, Tsinghua University, due to his cut-edging research on speaker recognition.




Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook 46,00 €
price for India (gross)
  • ISBN 978-981-10-3238-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 54,99 €
price for India (gross)
  • ISBN 978-981-10-3237-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Robustness-Related Issues in Speaker Recognition
Authors
Series Title
SpringerBriefs in Signal Processing
Copyright
2017
Publisher
Springer Singapore
Copyright Holder
The Author(s)
eBook ISBN
978-981-10-3238-7
DOI
10.1007/978-981-10-3238-7
Softcover ISBN
978-981-10-3237-0
Series ISSN
2196-4076
Edition Number
1
Number of Pages
X, 49
Number of Illustrations
5 b/w illustrations, 7 illustrations in colour
Topics