Filter Banks and Audio Coding: Compressing Audio Signals Using Python

This textbook provides an introduction to audio coding with Python programs, covering digital signal processing, psycho-acoustic models, and specialized coders. It includes examples and classroom materials for experiments.

Format: Paperback / softback
Length: 197 pages
Publication date: 25 September 2021
Publisher: Springer Nature Switzerland AG

This comprehensive textbook delves into the realm of audio coding, a powerful technique employed to compress audio and music signals. By utilizing Python programs, both as examples to elucidate the principles and as platforms for hands-on experimentation, the author aims to provide a solid foundation for understanding and applying audio coding techniques.

The author begins by introducing the fundamental concepts of digital signal processing, including sampling and filtering, which form the backbone of audio coding. This foundational knowledge serves as a springboard for exploring filter banks, a crucial component in audio coding. The author thoroughly explains the design methods and principles of filter banks, enabling readers to grasp their role in shaping audio signals.

Continuing the journey, the author delves into psycho-acoustic models, which play a pivotal role in audio coding. These models aim to replicate the human perception of sound and are essential in achieving high-quality compression. The author presents detailed explanations of psycho-acoustic models, their characteristics, and their implementation in audio coding systems.

Furthermore, the textbook explores specialized coders, such as the Integer-to-Integer MDCT filter bank, designed for efficient compression of audio signals. Additionally, predictive coding techniques are discussed, focusing on lossless and low-delay coding applications. The author provides Python program examples for each section, serving as practical illustrations of the principles and offering the tools for readers to conduct their own experiments.

In addition to its theoretical content, this textbook includes a comprehensive suite of classroom materials, encompassing exercises, experiments, and examples. These resources enhance the learning experience and facilitate a deeper understanding of audio coding concepts. Whether you are a student, researcher, or professional seeking to expand your knowledge in audio coding, this textbook serves as an invaluable resource.

By presenting a holistic approach to audio coding, encompassing filter banks, psycho-acoustic models, specialized coders, and predictive coding techniques, this textbook offers a comprehensive understanding of this field. With its clear explanations, practical examples, and comprehensive classroom materials, it empowers readers to apply audio coding principles in real-world scenarios and contribute to the advancement of audio technology.

Weight: 533g
Dimension: 279 x 210 (mm)
ISBN-13: 9783030512514
Edition number: 1st ed. 2020