musikalkemist/AudioSignalProcessingForML resource
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning" observed · 2026-08-28
Health v2 · maintenance only
74/100
- Activity 93
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2267
- days_rel: n/a
- days_push: 45
- n_releases_24m: 0
Adoption not part of the score
1396 stars · 457 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Jupyter notebooks and slides accompanying a YouTube course on audio signal processing for machine learning. It covers fundamentals of sound, time- and frequency-domain features, Fourier transforms, spectrograms, and feature extraction using Python libraries like librosa and NumPy.
Use cases
- learn audio signal processing for machine learning
- understand fourier transform and spectrograms with python
- extract audio features like MFCCs for ML models
- find code examples for librosa audio analysis
- study time-domain and frequency-domain audio features
- get course materials for a digital signal processing tutorial
When to choose
- you want a structured video course with matching runnable notebooks
- you are a beginner needing intuition for DSP concepts before applying ML to audio
- you want MIT-licensed example code for feature extraction with librosa
When to avoid
- you need a production-ready audio processing library rather than educational code
- you want a maintained software tool with an API instead of course materials
- you need real-time audio processing or streaming audio systems
Facets
learning-resource · maturity active
audio-processing machine-learning data-science machine-learning tutorials python cross-platform audio-signal-processing jupyter-notebooks youtube-course feature-extraction fourier-transform spectrogram librosa music-information-retrieval audio
1 source
- readme: https://github.com/musikalkemist/AudioSignalProcessingForML · fetched 2026-08-28 · caa2709175df
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| musikalkemist/AudioSignalProcessingForML | main | 74 |
For agents
markdown · JSON · MCP: product_card(name="musikalkemist/AudioSignalProcessingForML")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem