Sound Capture and Processing : Practical Approaches

by
Format: eBook
Pub. Date: 2009-07-01
Publisher(s): Wiley
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Summary

Provides state-of-the-art algorithms for sound capture, processing and enhancementSound Capture and Processing: Practical Approaches covers the digital signal processing algorithms and devices for capturing sounds, mostly human speech. It explores the devices and technologies used to capture, enhance and process sound for the needs of communication and speech recognition in modern computers and communication devices. This book gives a comprehensive introduction to basic acoustics and microphones, with coverage of algorithms for noise reduction, acoustic echo cancellation, dereverberation and microphone arrays; charting the progress of such technologies from their evolution to present day standard.Sound Capture and Processing: Practical ApproachesBrings together the state-of-the-art algorithms for sound capture, processing and enhancement in one easily accessible volume Provides invaluable implementation techniques required to process algorithms for real life applications and devices Covers a number of advanced sound processing techniques, such as multichannel acoustic echo cancellation, dereverberation and source separation Generously illustrated with figures and charts to demonstrate how sound capture and audio processing systems work An accompanying website containing Matlab code to illustrate the algorithmsThis invaluable guide will provide audio, R&D and software engineers in the industry of building systems or computer peripherals for speech enhancement with a comprehensive overview of the technologies, devices and algorithms required for modern computers and communication devices. Graduate students studying electrical engineering and computer science, and researchers in multimedia, cell-phones, interactive systems and acousticians will also benefit from this book.

Table of Contents

About the Author
Foreword
Preface
Acknowledgements
Introduction
The Need for, and Consumers of, Sound Capture and Audio Processing Algorithms
Typical Sound Capture System
The Goal of this Book and its Target Audience
Prerequisites
Book Structure
Exercises
Basics
Noise: Definition, Modeling, Properties
Signal: Definition, Modeling, Properties
Classification: Suppression, Cancellation, Enhancement
Sampling and Quantization
Audio Processing in the Frequency Domain
Bandwidth Limiting
Signal-to-Noise-Ratio: Definition and Measurement
Subjective Quality Measurement
Other Methods for Quality and Enhancement Measurement
Summary
Bibliography
Sound and Sound Capturing Devices
Sound and Sound Propagation
Microphones
Omnidirectional and Pressure Gradient Microphones
Parameter Definitions
First-order Directional Microphones
Noise-canceling Microphones and the Proximity Effect
Measurement of Microphone Parameters
Microphone Models
Summary
Bibliography
Single-channel Noise Reduction
Noise Suppression as a Signal Estimation Problem
Suppression Rules
Uncertain Presence of the Speech Signal
Estimation of the Signal and Noise Parameters
Architecture of a Noise Suppressor
Optimizing the Entire System
Specialized Noise-reduction Systems
Practical Tips and Tricks for Noise Suppression
Summary
Bibliography
Sound Capture with Microphone Arrays
Definitions and Types of Microphone Array
The Sound Capture Model and Beamforming
Terminology and Parameter Definitions
Time-invariant Beamformers
Channel Mismatch and Handling
Adaptive Beamformers
Microphone-array Post-processors
Specific Algorithms for Small Microphone Arrays
Summary
Bibliography
Sound Source Localization and Tracking with Microphone Arrays
Sound Source Localization
Sound Source Localization from a Single Frame
Post-processing Algorithms
Practical Approaches and Tips
Summary
Bibliography
Acoustic Echo-reduction Systems
General Principles and Terminology
LMS Solution for Acoustic Echo Cancellation
NLMS and RLS Algorithms
Double-talk Detectors
Non-linear Acoustic Echo Cancellation
Acoustic Echo Suppression
Multichannel Acoustic Echo Reduction
Practical Aspects of the Acoustic Echo-reduction Systems
Summary
Bibliography
De-reverberation
Reverberation and Modeling
De-reverberation via De-convolution
De-reverberation via Suppression
De-reverberation with Multiple Microphones
Practical Recommendations
Summary
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

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