Audio Content Analysis

Music Information Retrieval & Machine Listening

Audio Content Analysis

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  • home
  • class
  • datasets
  • code
    • audio features
      • feature computation
      • autocorrelation coefficient(s)
      • autocorrelation maximum
      • mel frequency cepstral coefficients
      • peak envelope
      • pitch chroma
      • predictivity ratio
      • root mean square
      • spectral centroid
      • spectral crest
      • spectral decrease
      • spectral flatness
      • spectral flux
      • spectral kurtosis
      • spectral rolloff
      • spectral skewness
      • spectral slope
      • spectral spread
      • standard deviation
      • tonal power ratio
      • zero crossing rate
    • pitch tracking
      • fundamental frequency computation
      • auditory pitch tracking approach
      • autocorrelation function
      • average magnitude difference function
      • harmonic product spectrum
      • spectral autocorrelation
      • zero crossings
    • key detection
      • key detection
    • rhythm
      • novelty function computation
        • novelty function: flux
        • novelty function: hainsworth
        • novelty function: laroche
      • simple beat histogram computation
    • helper functions
      • frequency to bark conversion
      • frequency to mel conversion
      • frequency to MIDI pitch conversion
      • MIDI pitch to frequency conversion
      • gammatone filterbank
      • simple dynamic time warping
  • software
  • errata

publications

… of the GTCMT music informatics group (RSS)
[tpcloud]

get the book

Book Cover Image: An Introduction to Audio Content Analysis @ amazon.com
@ amazon.de
@ IEEE
@ Wiley


download source code

matlab files

take the class

video lectures

browse excerpts

Frontmatter
Appendix A -- Convolution
Appendix B -- Fourier Transform
Appendix C -- PCA
Appendix D -- Software
References
Index

reviews

This book will not only greatly help undergraduate and graduate ACA students, but will also be a boon to music researchers and music industry experts alike. The book is simply a treasure for music analysts, and I would strongly recommend it for any scientific library.
-Soubhik Chakraborty

blog

  • video lectures released
  • GTCMT @ ISMIR2016
  • Bachelor in Music Technology @ Georgia Tech
  • Public teaching materials
  • matlab code now available at github

get the book

Book Cover Image: An Introduction to Audio Content Analysis @ amazon.com
@ amazon.de
@ IEEE
@ Wiley

download source code

matlab files

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