Audio Processing in Python with Feature Extraction for Machine Learning

Audio Processing in Python with Feature Extraction for Machine Learning

Prodramp via YouTube Direct link

- Audio processing with librosa

7 of 19

7 of 19

- Audio processing with librosa

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Audio Processing in Python with Feature Extraction for Machine Learning

Automatically move to the next video in the Classroom when playback concludes

  1. 1 - Video Start
  2. 2 - Content Introduction
  3. 3 - Python Audio processing resources
  4. 4 - Tutorial Source code intro
  5. 5 - Tutorial Starts
  6. 6 - Royalty free audio
  7. 7 - Audio processing with librosa
  8. 8 - Beats retrieval from audio
  9. 9 - Beats Generation
  10. 10 - Features Extraction
  11. 11 - Zero Crossing Rate
  12. 12 - Spectral Centroid
  13. 13 - Spectral Rolloff
  14. 14 - MFCCs
  15. 15 - Chroma Frequencies
  16. 16 - RMS Root-mean-square
  17. 17 - Code Push to GitHub
  18. 18 - Recap
  19. 19 - Credits

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.