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Speech Enhancement

Overview of attention for book
Cover of 'Speech Enhancement'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Study of the Wiener Filter for Noise Reduction
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    Chapter 3 Statistical Methods for the Enhancement of Noisy Speech
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    Chapter 4 Single- and Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model
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    Chapter 5 From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals
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    Chapter 6 Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation
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    Chapter 7 Signal Subspace Techniques for Speech Enhancement
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    Chapter 8 Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework
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    Chapter 9 Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction
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    Chapter 10 Adaptive Microphone Array Employing Spatial Quadratic Soft Constraints and Spectral Shaping
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    Chapter 11 Single-Microphone Blind Dereverberation
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    Chapter 12 Separation and Dereverberation of Speech Signals with Multiple Microphones
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    Chapter 13 Frequency-Domain Blind Source Separation
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    Chapter 14 Subband Based Blind Source Separation
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    Chapter 15 Real-Time Blind Source Separation for Moving Speech Signals
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    Chapter 16 Separation of Speech by Computational Auditory Scene Analysis
Attention for Chapter 8: Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework
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Chapter title
Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework
Chapter number 8
Book title
Speech Enhancement
Published by
Springer Berlin Heidelberg, January 2005
DOI 10.1007/3-540-27489-8_8
Book ISBNs
978-3-54-024039-6, 978-3-54-027489-6
Authors

Sharon Gannot

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Postgraduate 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%

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