Noise Reduction Based on Microphone Array and Post-Filtering: Theory, Implementation and Applications

Junfeng Li

ISBN 10: 3639204832 / ISBN 13: 9783639204834

Published by VDM Verlag 2009-10-02, 2009

About this Item

Seller Inventory # 6666-IUK-9783639204834

Bibliographic Details

• Title: Noise Reduction Based on Microphone Array and Post-Filtering: Theory, Implementation and Applications
• Publisher: VDM Verlag 2009-10-02
• Publication Date: 2009
• Language: English
• ISBN 10: 3639204832
• ISBN 13: 9783639204834
• Binding: Paperback
• Condition: New

About this title

Synopsis

Acoustic interfering noise signals dramatically degrade the performance of many speech applications, such as automatic speech recognition system and speech communication system, in practical environments. For example, for automatic speech recognition system, noises result in the mismatch between the training and testing conditions, further degrading the performance of recognition system in real-world conditions. For speech communication system, acoustic noises degrade the quality and intelligibility of received speech signals. Therefore, noise reduction has been a fundamental enabling technology and an indispensable component for these applications that must recognize or transmit speech in noisy environments. The book describes the theory, implementation and applications of multi-channel noise reduction for robust hands-free speech recognition. Problems are discussed in regards to different state-of-the-art multi-channel noise reduction systems. Accordingly, one promising multi-channel noise reduction system based on microphone array and post-filtering is introduced from theory, through implementation, to application to robust speech recognition.

About the Author

Junfeng Li received the Ph.D. degree in Information Science from Japan Advanced Institute of Science and Technology in March, 2006. From April 2006 to March 2007, he was a Post-Doc at Tohoku Univ. Since April 2007, he has been an Assistant Professor in JAIST. His research interests include speech signal processing and intelligent hearing aids.