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Shlomo Dubnov,Ross Greer

Deep and Shallow: Machine Learning in Music and Audio

Deep and Shallow: Machine Learning in Music and Audio

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  • More about Deep and Shallow: Machine Learning in Music and Audio


This book provides a comprehensive introduction to music theory, covering physical and mathematical properties of sound, symbolic representations, and computer-based music systems. It includes guided programming activities to help readers familiarise with the discussed theory.

Format: Paperback / softback
Length: 328 pages
Publication date: 08 December 2023
Publisher: Taylor & Francis Ltd


Here is the rephrased text:

Music is a captivating art form that encompasses a wide range of foundational ideas. From the physical and mathematical properties of sound to the symbolic representations that convey meaning, music explores the intricate interplay between sound and human perception. This comprehensive guide provides a holistic overview of these essential concepts, combining insights from signal processing and language modeling to explore how sound can be represented and manipulated by computer systems.

Beginning with an introduction to the fundamentals of sound, the guide delves into the physical properties of sound waves, including their frequency, amplitude, and wavelength. It explains how these properties shape the characteristics of different sounds, such as pitch, timbre, and intensity. The mathematical aspects of music are also explored, including the concepts of frequency analysis, signal processing, and digital audio technology.

As the discussion progresses, more complex discussions are gradually incorporated. The guide discusses the symbolic representations of music, including musical notation, scales, and chord progressions. It explores how these representations convey musical ideas and how they can be manipulated using computer algorithms and software.

Throughout the guide, practical examples and case studies are used to illustrate the theoretical concepts. Each chapter includes guided programming activities to familiarise readers with the discussed theory and help them apply it to real-world scenarios. Whether you are a music enthusiast, a computer scientist, or a student interested in exploring the foundations of music, this guide offers valuable insights and practical tools for understanding and manipulating sound.

In conclusion, music is a rich and complex art form that relies on a combination of physical and mathematical principles. This comprehensive guide provides a thorough exploration of these foundational ideas, combining signal processing and language modeling to shed light on how sound can be represented, manipulated, and interpreted by computer systems. By familiarising yourself with the concepts discussed in this guide, you can gain a deeper appreciation for the beauty and power of music and explore new avenues for creative expression.

Weight: 520g
Dimension: 156 x 235 x 23 (mm)
ISBN-13: 9781032133911

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