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Benesty, Jacob

Speech Enhancement

Benesty, Jacob - Speech Enhancement, ebook

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Ebook, PDF with Adobe DRM
ISBN: 9783540274896
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Table of contents

1. Introduction
Jacob Benesty, Shoji Makino, Jingdong Chen

2. Study of the Wiener Filter for Noise Reduction
Jacob Benesty, Jingdong Chen, Yiteng (Arden) Huang, Simon Doclo

3. Statistical Methods for the Enhancement of Noisy Speech
Rainer Martin

4. Single- and Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model
Thomas Lotter

5. From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals
Israel Cohen

6. Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation
Akihiko Sugiyama, Masanori Kato, Masahiro Serizawa

7. Signal Subspace Techniques for Speech Enhancement
Firas Jabloun, Benoit Champagne

8. Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework
Sharon Gannot

9. Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction
Simon Doclo, Ann Spriet, Jan Wouters, Marc Moonen

10. Adaptive Microphone Array Employing Spatial Quadratic Soft Constraints and Spectral Shaping
Sven Nordholm, Hai Quang Dam, Nedelko Grbic, Siow Yong Low

11. Single-Microphone Blind Dereverberation
Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshita

12. Separation and Dereverberation of Speech Signals with Multiple Microphones
Yiteng (Arden) Huang, Jacob Benesty, Jingdong Chen

13. Frequency-Domain Blind Source Separation
Hiroshi Sawada, Ryo Mukai, Shoko Araki, Shoji Makino

14. Subband Based Blind Source Separation
Shoko Araki, Shoji Makino

15. Real-Time Blind Source Separation for Moving Speech Signals
Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Makino

16. Separation of Speech by Computational Auditory Scene Analysis
Guy J. Brown, DeLiang Wang

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Keywords: TECHNOLOGY & ENGINEERING / General TEC000000

Author(s)
 
 
Publisher
Springer
Publication year
2005
Language
en
Edition
1
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783540274896

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