Ivan Jelev Tashev

Sound Capture and Processing (eBook, PDF)

Practical Approaches

• Format: PDF

Produktbeschreibung

Provides state-of-the-art algorithms for sound capture, processing and enhancement Sound 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 Approaches * Brings 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 algorithms This 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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 388
• Erscheinungstermin: 1. Juli 2009
• Englisch
• ISBN-13: 9780470994436
• Artikelnr.: 37301296

Autorenporträt

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.

Inhaltsangabe

About the Author. Foreword. Preface. Acknowledgements. 1 Introduction. 1.1
The Need for, and Consumers of, Sound Capture and Audio Processing
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
Microphone Arrays. 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-reduction Systems. 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.