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Audio Processing in Python with Feature Extraction for Machine Learning

Prodramp via YouTube

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Overview

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This tutorial demonstrates audio analysis in Python with librosa, covering beat retrieval and generation and extracting several audio features for machine learning.

Syllabus

- Video Start
- Content Introduction
- Python Audio processing resources
- Tutorial Source code intro
- Tutorial Starts
- Royalty free audio
- Audio processing with librosa
- Beats retrieval from audio
- Beats Generation
- Features Extraction
- Zero Crossing Rate
- Spectral Centroid
- Spectral Rolloff
- MFCCs
- Chroma Frequencies
- RMS Root-mean-square
- Code Push to GitHub
- Recap
- Credits

Taught by

Prodramp

Reviews

3.0 rating, based on 1 Class Central review

Start your review of Audio Processing in Python with Feature Extraction for Machine Learning

  • Profile image for Muhammad Naurez Jabbar
    Muhammad Naurez Jabbar @naurez
    The course was good to learn Audio processing in simple words and with code it is more attractive. There is issue in their video quality thats why its not easy to see codes and github repo name
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