Tashev Sound Capture and Processing

Practical Approaches
1. Auflage 2009
ISBN: 978-0-470-99443-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 388 Seiten, E-Book

Provides state-of-the-art algorithms for sound capture,processing and enhancement
Sound Capture and Processing: Practical Approaches coversthe digital signal processing algorithms and devices for capturingsounds, mostly human speech. It explores the devices andtechnologies used to capture, enhance and process sound for theneeds of communication and speech recognition in modern computersand communication devices. This book gives a comprehensiveintroduction to basic acoustics and microphones, with coverage ofalgorithms for noise reduction, acoustic echo cancellation,dereverberation and microphone arrays; charting the progress ofsuch technologies from their evolution to present day standard.
Sound Capture and Processing: Practical Approaches
* Brings together the state-of-the-art algorithms for soundcapture, processing and enhancement in one easily accessiblevolume
* Provides invaluable implementation techniques required toprocess algorithms for real life applications and devices
* Covers a number of advanced sound processing techniques, suchas multichannel acoustic echo cancellation, dereverberation andsource separation
* Generously illustrated with figures and charts to demonstratehow sound capture and audio processing systems work
* An accompanying website containing Matlab code to illustratethe algorithms
This invaluable guide will provide audio, R&D and softwareengineers in the industry of building systems or computerperipherals for speech enhancement with a comprehensive overview ofthe technologies, devices and algorithms required for moderncomputers and communication devices. Graduate students studyingelectrical engineering and computer science, and researchers inmultimedia, cell-phones, interactive systems and acousticians willalso benefit from this book.

Autoren/Hrsg.

Tashev, Ivan Jelev

Inhaltsverzeichnis

About the Author.
Foreword.
Preface.
Acknowledgements.
1 Introduction.
1.1 The Need for, and Consumers of, Sound Capture and AudioProcessing Algorithms.
1.2 Typical Sound Capture System.
1.3 The Goal of this Book and its Target Audience.
1.4 Prerequisites.
1.5 Book Structure.
1.6 Exercises.
2 Basics.
2.1 Noise: Definition, Modeling, Properties.
2.2 Signal: Definition, Modeling, Properties.
2.3 Classification: Suppression, Cancellation, Enhancement.
2.4 Sampling and Quantization.
2.5 Audio Processing in the Frequency Domain.
2.6 Bandwidth Limiting.
2.7 Signal-to-Noise-Ratio: Definition and Measurement.
2.8 Subjective Quality Measurement.
2.9 Other Methods for Quality and Enhancement Measurement.
2.10 Summary.
Bibliography.
3 Sound and Sound Capturing Devices.
3.1 Sound and Sound Propagation.
3.2 Microphones.
3.3 Omnidirectional and Pressure Gradient Microphones.
3.4 Parameter Definitions.
3.5 First-order Directional Microphones.
3.6 Noise-canceling Microphones and the Proximity Effect.
3.7 Measurement of Microphone Parameters.
3.8 Microphone Models.
3.9 Summary.
Bibliography.
4 Single-channel Noise Reduction.
4.1 Noise Suppression as a Signal Estimation Problem.
4.2 Suppression Rules.
4.3 Uncertain Presence of the Speech Signal.
4.4 Estimation of the Signal and Noise Parameters.
4.5 Architecture of a Noise Suppressor.
4.6 Optimizing the Entire System.
4.7 Specialized Noise-reduction Systems.
4.8 Practical Tips and Tricks for Noise Suppression.
4.9 Summary.
Bibliography.
5 Sound Capture with Microphone Arrays.
5.1 Definitions and Types of Microphone Array.
5.2 The Sound Capture Model and Beamforming.
5.3 Terminology and Parameter Definitions.
5.4 Time-invariant Beamformers.
5.5 Channel Mismatch and Handling.
5.6 Adaptive Beamformers.
5.7 Microphone-array Post-processors.
5.8 Specific Algorithms for Small Microphone Arrays.
5.9 Summary.
Bibliography.
6 Sound Source Localization and Tracking with MicrophoneArrays.
6.1 Sound Source Localization.
6.2 Sound Source Localization from a Single Frame.
6.3 Post-processing Algorithms.
6.4 Practical Approaches and Tips.
6.5 Summary.
Bibliography.
7 Acoustic Echo-reduction Systems.
7.1 General Principles and Terminology.
7.2 LMS Solution for Acoustic Echo Cancellation.
7.3 NLMS and RLS Algorithms.
7.4 Double-talk Detectors.
7.5 Non-linear Acoustic Echo Cancellation.
7.6 Acoustic Echo Suppression.
7.7 Multichannel Acoustic Echo Reduction.
7.8 Practical Aspects of the Acoustic Echo-reductionSystems.
7.9 Summary.
Bibliography.
8 De-reverberation.
8.1 Reverberation and Modeling.
8.2 De-reverberation via De-convolution.
8.3 De-reverberation via Suppression.
8.4 De-reverberation with Multiple Microphones.
8.5 Practical Recommendations.
8.6 Summary.
Bibliography.
Index.

Über Autor(innen)

Dr Ivan Tashev has a master's degree in Electronics (1984) and a PhD in Computer Science (1989), both from the Technical University of Sofia, Bulgaria. He worked as an assistant professor at the same university for nine years, and wrote a book "Data and Signal Processing" based on his course, published by the Publishing House of the Technical University of Sofia. For the last five years, Dr Tashev has worked in the area of sound capturing, speech enhancement, and audio processing in general, in the Speech Technologies group at Microsoft Research, US.