• Automatic Music Transcription
  • Rand ASSWAD
  • Introduction
  • 1 Background
    • 1.1 Automatic Music Transcription
      • 1.1.1 History and community
      • 1.1.2 Motivation
      • 1.1.3 Underlying tasks
    • 1.2 Physical definition of acoustic waves
    • 1.3 Perception of sound and music
      • 1.3.1 Fundamental frequency and pitch
      • 1.3.2 Perception of intensity
    • 1.4 Audio signal processing
      • 1.4.1 Discrete-time signals
      • 1.4.2 Discrete Fourier Transform (DFT)
  • 2 Pitch analysis
    • 2.1 Introduction
    • 2.2 Single pitch
      • 2.2.1 Time domain
      • 2.2.2 Spectral domain
      • 2.2.3 Application Example
    • 2.3 Multiple pitch
      • 2.3.1 Harmonic Amplitudes Sum
      • 2.3.2 Spectral factorisation
  • 3 Temporal segmentation
    • 3.1 Introduction
    • 3.2 Onset Detection Function (ODF)
      • 3.2.1 High Frequency Content (HFC)
      • 3.2.2 Phase Deviation
      • 3.2.3 Complex Distance
    • 3.3 Thresholding & Peak-picking
    • 3.4 Results
  • 4 Conclusion
  • References
  • PDF book
  • HTML standalone version
  • Presentation slides
  • Github repository
  • Download source code

Automatic Music Transcription

Automatic Music Transcription

Masters Thesis Project

Rand ASSWAD

12 March 2020