Sound Capture and Processing (PDF)
Practical Approaches
(Sprache: Englisch)
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...
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...
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Produktinformationen zu „Sound Capture and Processing (PDF)“
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.
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.
Inhaltsverzeichnis zu „Sound Capture and Processing (PDF)“
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
... mehr
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.
... weniger
Autoren-Porträt von Ivan Jelev Tashev
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.
Bibliographische Angaben
- Autor: Ivan Jelev Tashev
- 2009, 1. Auflage, 388 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470994436
- ISBN-13: 9780470994436
- Erscheinungsdatum: 01.07.2009
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