Applications of Digital Signal Processing to Audio and Acoustics (The Springer International Series in Engineering and C
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.
Why Read This Book
You should read this book if you want a curated snapshot of applied research in audio and acoustic DSP from the 1990s, including perceptual coding, analysis/synthesis techniques, and hardware considerations. It exposes you to practical approaches and evaluation methods used by researchers working on high-quality audio coding, music signal processing, and hearing-aid signal processing.
Who Will Benefit
Engineers and researchers working on audio coding, music and acoustic signal processing, or real-time audio systems who need exposure to application-driven methods and perceptual evaluation techniques.
Level: Advanced — Prerequisites: Solid DSP fundamentals (Fourier transforms, filtering, sampling), basic linear algebra, and familiarity with audio concepts and perceptual/psychoacoustic ideas.
Key Takeaways
- Apply perceptual measurement and psychoacoustic principles to evaluate and design audio codecs.
- Design and analyze analysis/synthesis systems such as filter banks and subband coders used in audio coding.
- Understand practical approaches to high-quality audio compression (MPEG-related techniques) and their trade-offs.
- Assess hardware and real-time implementation issues for audio DSP systems.
- Apply techniques for music signal processing and synthesis drawn from contemporary research.
- Evaluate audio quality using perceptually informed testing methods and metrics.
Topics Covered
- Introduction and overview of audio DSP applications
- Perceptual measurement techniques and psychoacoustics
- Filter banks and subband coding for audio
- High-quality audio coding algorithms (perceptual coders / MPEG-related)
- Analysis/synthesis methods for music and sound
- Music signal processing and digital synthesis
- Hearing-aid signal processing and assistive devices
- Spatial audio, room acoustics, and binaural approaches
- Evaluation methods and perceptual testing
- Hardware architectures and real-time implementations for audio DSP
- Case studies and application-specific systems
- Conclusions and future directions in audio DSP
Languages, Platforms & Tools
How It Compares
Comparable to the edited collections and textbooks like "Audio Signal Processing and Coding" (Spanias et al.) and complements later textbooks such as Zölzer's "Digital Audio Signal Processing" by offering workshop-style, application-driven papers rather than a single cohesive tutorial.
