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Machine & Deep Learning Compendium
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Feature Engineering

  1. 1.
    Fourier transform
    1. 1.
      ​youtube​
  2. 2.
    ​Read this first, by Jonathan Hui - a/d, boost, Mel-frequency cepstral coefficients (MFCC), Perceptual Linear Prediction (PLP), Hanning vs Hamming, window, discrete fourier transform (DFT), IDFT.
  3. 3.
    Learning from Audio Series by mlearnere
    1. 1.
      ​Learning from Audio: Wave Forms​
    2. 2.
      ​Learning from Audio: Time Domain Features​
    3. 3.
      ​Learning from Audio: Fourier Transformation​
    4. 4.
      ​Learning from Audio: The Mel Scale, Mel Spectrograms, and Mel Frequency Cepstral Coefficients​
    5. 5.
      ​Learning from Audio: Pitch and Chromagrams​
  4. 4.
    Spectrogram
    1. 1.
      ​Understanding the Mel Spectrogram, 2, 3, 4, delta deltas​
  5. 5.
    Mel-frequency cepstral coefficients (MFCC)
    1. 1.
      ​youtube​
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Last modified 1mo ago