Introduces the mathematical backbone of audio analysis, detailing how to convert time-domain signals into the frequency domain using the Short-Time Fourier Transform (STFT) . Key Music Processing Tasks
Covers the three main ways to represent music— sheet music , symbolic (MIDI), and audio —while defining acoustic properties like pitch, dynamics, and timbre. Fundamentals of Music Processing: Audio, Analys...
The book by Meinard Müller is a comprehensive guide to Music Information Retrieval (MIR) . It bridges the gap between signal processing theory and real-world music applications using a modular, task-oriented approach. Core Structure and Foundations It bridges the gap between signal processing theory
The textbook is organized into eight chapters, beginning with foundational concepts that are applied to increasingly complex tasks: Fundamentals of Music Processing: Audio, Analys...
Each subsequent chapter focuses on a specific challenge, presenting both the musical context and the rigorous algorithms needed to solve it: