Tutorial: A Basic Introduction to Audio-Related Music Information Retrieval

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This is a tutorial offered at the International Society for Music Information Retrieval Conference 2017.

Content

The main goal of this tutorial is to give an introduction to Music Information Retrieval with a particular focus on audio-related analysis and retrieval tasks. Well-established topics in MIR are selected to serve as motivating application scenarios. Within these scenarios, fundamental techniques and algorithms that are applicable to a wide range of analysis and retrieval problems are presented in depth. Including numerous figures and sound examples, this tutorial is intended to suite for a wide and interdisciplinary audience with no particular background in MIR or audio processing. This tutorial consists of eight parts, each lasting between 20 and 25 minutes. The first two parts cover fundamental material on music representations and the Fourier transform—concepts that are required throughout the tutorial. In the subsequent parts, concrete MIR tasks serve as starting points for our investigations. Each part starts with a general description of the MIR scenario at hand and integrates the topic into a wider context. Motivated by a concrete scenario, each part discusses important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems.

The following video gives a brief impression about this course.

Accompanying Textbook

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Meinard Müller
Fundamentals of Music Processing
Audio, Analysis, Algorithms, Applications
ISBN: 978-3-319-21944-8
Springer, 2015

Topics and Slides

  • Overview
    Slides (PDF), Handouts (6 slides per page) (PDF)
  • Music Representations
    Slides (PDF), Handouts (6 slides per page) (PDF)
  • Audio Features (Fourier Transform, Spectrogram, Pitch, Chroma)
    Slides (PDF), Handouts (6 slides per page) (PDF)
  • Tonal Analysis
    Slides (PDF), Handouts (6 slides per page) (PDF)
  • Audio Classification
    Slides (PDF), Handouts (6 slides per page) (PDF)
  • Audio Structure Analysis
    Slides (PDF), Handouts (6 slides per page) (PDF)
  • Audio Decomposition
    Slides (PDF), Handouts (6 slides per page) (PDF)