https://github.com/daniel-furman/audio-classification-lesson

An audio deep learning mini-lesson from the 2021 DAT/Artathon fellowship.
https://github.com/daniel-furman/audio-classification-lesson

ai audio-classification deep-learning sound-event-detection vision-transformer

Last synced: 2 months ago
JSON representation

An audio deep learning mini-lesson from the 2021 DAT/Artathon fellowship.

• Host: GitHub
• URL: https://github.com/daniel-furman/audio-classification-lesson
• Owner: daniel-furman
• Created: 2021-07-22T16:39:30.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-07-22T18:11:41.000Z (almost 4 years ago)
• Last Synced: 2025-01-29T19:24:31.084Z (4 months ago)
• Topics: ai, audio-classification, deep-learning, sound-event-detection, vision-transformer
• Language: Jupyter Notebook
• Homepage: https://nbviewer.jupyter.org/github/daniel-furman/RandomDS/blob/main/D_A_%2721_Mini_Lesson_ESC50_Classification.ipynb
• Size: 4.65 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# DAT/Artathon 2021 Mini-Lesson

---



A 15 minute mini-lesson on audio classification with deep learning, originating from the [2021 DAT/Artathon](https://datartathon.com). I am primarily self-taught in this area, and I first got into audio during a Kaggle competition for Sound Event Detection (SED) on natural soundscapes ([BirdCLEF21](https://www.kaggle.com/c/birdclef-2021)).  

* Introduction to audio classification (10 min).

* Colab notebook demo (5 min). 

  * ESC-50 classification of environmental audio recordings.