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
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (1.9%) to scientific vocabulary
Keywords
Repository
An audio deep learning mini-lesson from the 2021 DAT/Artathon fellowship.
Basic Info
- Host: GitHub
- Owner: daniel-furman
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://nbviewer.jupyter.org/github/daniel-furman/RandomDS/blob/main/D_A_%2721_Mini_Lesson_ESC50_Classification.ipynb
- Size: 4.65 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
DAT/Artathon 2021 Mini-Lesson
A 15 minute mini-lesson on audio classification with deep learning, originating from the 2021 DAT/Artathon. 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).
- Introduction to audio classification (10 min).
- Colab notebook demo (5 min).
- ESC-50 classification of environmental audio recordings.
Owner
- Name: Daniel Furman
- Login: daniel-furman
- Kind: user
- Location: San Francisco
- Company: @twosixcapital
- Repositories: 6
- Profile: https://github.com/daniel-furman
Master’s student, UC Berkeley School of Information. University of Pennsylvania alum. DS @twosixcapital. Prev MLE @understory.ai.
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Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Daniel Furman | d****n@g****m | 18 |