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Speech Enhancement 1st Edition by Jacob Benesty, Shoji Makino, Jingdong Chen ISBN 354024039X 9783540240396

  • SKU: BELL-2164818
Speech Enhancement 1st Edition by Jacob Benesty, Shoji Makino, Jingdong Chen ISBN 354024039X 9783540240396
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Speech Enhancement 1st Edition by Jacob Benesty, Shoji Makino, Jingdong Chen ISBN 354024039X 9783540240396 instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 5.66 MB
Pages: 415
Author: Jacob Benesty (Editor), Shoji Makino (Editor), Jingdong Chen (Editor)
ISBN: 9783540240396, 354024039X
Language: English
Year: 2005
Edition: 1

Product desciption

Speech Enhancement 1st Edition by Jacob Benesty, Shoji Makino, Jingdong Chen ISBN 354024039X 9783540240396 by Jacob Benesty (editor), Shoji Makino (editor), Jingdong Chen (editor) 9783540240396, 354024039X instant download after payment.

Speech Enhancement 1st Edition by Jacob Benesty, Shoji Makino, Jingdong Chen - Ebook PDF Instant Download/Delivery: 354024039X, 9783540240396
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Product details:

ISBN 10: 354024039X 
ISBN 13: 9783540240396
Author: Jacob Benesty, Shoji Makino, Jingdong Chen

We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc.) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored.

This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology.

The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field.

Speech Enhancement 1st Table of contents:

  1. Front Matter

  2. Introduction

  3. Study of the Wiener Filter for Noise Reduction

  4. Statistical Methods for the Enhancement of Noisy Speech

  5. Single- and Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model

  6. From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals

  7. Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation

  8. Signal Subspace Techniques for Speech Enhancement

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

  10. Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction

  11. Adaptive Microphone Array Employing Spatial Quadratic Soft Constraints and Spectral Shaping

  12. Single-Microphone Blind Dereverberation

  13. Separation and Dereverberation of Speech Signals with Multiple Microphones

  14. Frequency-Domain Blind Source Separation

  15. Subband Based Blind Source Separation

  16. Real-Time Blind Source Separation for Moving Speech Signals

  17. Separation of Speech by Computational Auditory Scene Analysis

  18. Back Matter

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Tags: Jacob Benesty, Shoji Makino, Jingdong Chen, Speech, Enhancement

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