/audio_feature_analysis

Audio/music feature extraction using Librosa in Python

Primary LanguageJupyter Notebook

audio_feature_analysis

Audio/music feature extraction using Librosa in Python

Features explored include:

  • Spectogram
  • RMS Energy
  • Zero Crossing Rate
  • Mel-Frequency Cepstral Coefficients (MFCCs)
  • Chroma
  • Tempogram

Audio files used:

  1. Warm Memories - Emotional Inspiring Piano by Keys of Moon | https://soundcloud.com/keysofmoon Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ Music promoted by https://www.chosic.com/free-music/all/

  2. Action Rock by LesFM | https://lesfm.net/motivational-background-music/ Music promoted by https://www.chosic.com/free-music/all/ Creative Commons CC BY 3.0 https://creativecommons.org/licenses/by/3.0/

  3. Grumpy Old Man Pack » Grumpy Old Man 3.wav by ecfike | https://freesound.org/people/ecfike/ Music promoted by https://freesound.org/people/ecfike/sounds/131652/ Creative Commons 0