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Digital Signal Processing in Audio and Acoustical Engineering

Digital Signal Processing in Audio and Acoustical Engineering
Author: Francis F. Li
Publisher: CRC Press
Total Pages: 228
Release: 2019-04-02
Genre: Technology & Engineering
ISBN: 146659389X

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Starting with essential maths, fundamentals of signals and systems, and classical concepts of DSP, this book presents, from an application-oriented perspective, modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include but are not limited to room acoustic parameter measurements, filter design, codecs, machine learning for audio pattern recognition and machine audition, spatial audio, array technologies and hearing aids. Some research outcomes are fed into book as worked examples. As a research informed text, the book attempts to present DSP and machine learning from a new and more relevant angle to acousticians and audio engineers. Some MATLAB® codes or frameworks of algorithms are given as downloads available on the CRC Press website. Suggested exploration and mini project ideas are given for "proof of concept" type of exercises and directions for further study and investigation. The book is intended for researchers, professionals, and senior year students in the field of audio acoustics.


Applications of Digital Signal Processing to Audio and Acoustics

Applications of Digital Signal Processing to Audio and Acoustics
Author: Mark Kahrs
Publisher: Springer Science & Business Media
Total Pages: 569
Release: 2005-12-11
Genre: Technology & Engineering
ISBN: 030647042X

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Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Today, the main appli cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research. The topics covered here coincide with the topics covered in the biannual work shop on “Applications of Signal Processing to Audio and Acoustics”. This event is sponsored by the IEEE Signal Processing Society (Technical Committee on Audio and Electroacoustics) and takes place at Mohonk Mountain House in New Paltz, New York. A short overview of each chapter will illustrate the wide variety of technical material presented in the chapters of this book. John Beerends: Perceptual Measurement Techniques. The advent of perceptual measurement techniques is a byproduct of the advent of digital coding for both speech and high quality audio signals. Traditional measurement schemes are bad estimates for the subjective quality after digital coding/decoding. Listening tests are subject to sta tistical uncertainties and the basic question of repeatability in a different environment.


Immersive Audio Signal Processing

Immersive Audio Signal Processing
Author: Sunil Bharitkar
Publisher: Springer Science & Business Media
Total Pages: 222
Release: 2008-10-04
Genre: Mathematics
ISBN: 0387285032

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This graduate-level text lays out the foundation of DSP for audio and the fundamentals of auditory perception, then goes on to discuss immersive audio rendering and synthesis, the digital equalization of room acoustics, and various DSP implementations. It covers a variety of topics and up-to-date results in immersive audio processing research: immersive audio synthesis and rendering, multichannel room equalization, audio selective signal cancellation, multirate signal processing for audio applications, surround sound processing, psychoacoustics and its incorporation in audio signal processing algorithms for solving various problems, and DSP implementations of audio processing algorithms on semiconductor devices.


Digital Signal Processing in Audio and Acoustical Engineering

Digital Signal Processing in Audio and Acoustical Engineering
Author: Francis F. Li
Publisher: CRC Press
Total Pages: 282
Release: 2019-04-02
Genre: Technology & Engineering
ISBN: 1351644157

Download Digital Signal Processing in Audio and Acoustical Engineering Book in PDF, ePub and Kindle

Starting with essential maths, fundamentals of signals and systems, and classical concepts of DSP, this book presents, from an application-oriented perspective, modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include but are not limited to room acoustic parameter measurements, filter design, codecs, machine learning for audio pattern recognition and machine audition, spatial audio, array technologies and hearing aids. Some research outcomes are fed into book as worked examples. As a research informed text, the book attempts to present DSP and machine learning from a new and more relevant angle to acousticians and audio engineers. Some MATLAB® codes or frameworks of algorithms are given as downloads available on the CRC Press website. Suggested exploration and mini project ideas are given for "proof of concept" type of exercises and directions for further study and investigation. The book is intended for researchers, professionals, and senior year students in the field of audio acoustics.


Fundamentals of Acoustic Signal Processing

Fundamentals of Acoustic Signal Processing
Author: Mikio Tohyama
Publisher: Academic Press
Total Pages: 344
Release: 1998
Genre: Art
ISBN:

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Discrete representation of signals. Z- transform. Transfer function and frequency response function. Discrete fourier transform. Transfer function models and wave equations ...


Digital Signal Processing in Communications Systems

Digital Signal Processing in Communications Systems
Author: Marvin Frerking
Publisher: Springer Science & Business Media
Total Pages: 638
Release: 2013-03-14
Genre: Science
ISBN: 1475749902

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An engineer's introduction to concepts, algorithms, and advancements in Digital Signal Processing. This lucidly written resource makes extensive use of real-world examples as it covers all the important design and engineering references.


Audio Signal Processing for Next-Generation Multimedia Communication Systems

Audio Signal Processing for Next-Generation Multimedia Communication Systems
Author: Yiteng (Arden) Huang
Publisher: Springer Science & Business Media
Total Pages: 375
Release: 2004-03-31
Genre: Technology & Engineering
ISBN: 1402077688

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Audio Signal Processing for Next-Generation Multimedia Communication Systems presents cutting-edge digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel acoustic echo cancellation, sound source tracking and separation, audio coding, and realistic sound stage reproduction. This book's focus is almost exclusively on the processing, transmission, and presentation of audio and acoustic signals in multimedia communications for telecollaboration where immersive acoustics will play a great role in the near future.


Introduction to Audio Processing

Introduction to Audio Processing
Author: Mads G. Christensen
Publisher: Springer
Total Pages: 224
Release: 2019-03-30
Genre: Technology & Engineering
ISBN: 3030117812

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This textbook presents an introduction to signal processing for audio applications. The author’s approach posits that math is at the heart of audio processing and that it should not be simplified. He thus retains math as the core of signal processing and includes concepts of difference equations, convolution, and the Fourier Transform. Each of these is presented in a context where they make sense to the student and can readily be applied to build artifacts. Each chapter in the book builds on the previous ones, building a linear, coherent story. The book starts with a definition of sound and goes on to discuss digital audio signals, filters, The Fourier Transform, audio effects, spatial effects, audio equalizers, dynamic range control, and pitch estimation. The exercises in each chapter cover the application of the concepts to audio signals. The exercises are made specifically for Pure Data (Pd) although traditional software, such as MATLAB, can be used. The book is intended for students in media technology bachelor programs. The book is based on material the author developed teaching on the topic over a number of years.