Uploaded July 2021 | Updated September 2026, 3 weeks ago
Learn how to train a deep learning (CNN) sound classifier built with Pytorch and torchaudio on the UrbanSound dataset. We train the model on the Urban Sound 8K dataset.
Code:
github.com/musikalkemist/pytorchforaudio/tree/main/09%20Training%20urban%20sound%20classifier
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Content:
0:00 Intro
0:39 Adapting the train script for urban sound classification
6:27 Summary of training steps
7:20 Running the train script
8:09 What's up next?
Learn how to train a deep learning (CNN) sound classifier built with Pytorch and torchaudio on the UrbanSound dataset. We train the model on the Urban Sound 8K dataset.
Code:
github.com/musikalkemist/pytorchforaudio/tree/main/09%20Training%20urban%20sound%20classifier
===============================
Interested in hiring me as a consultant/freelancer?
valeriovelardo.com
Join The Sound Of AI Slack community:
valeriovelardo.com/the-sound-of-ai-community
Connect with Valerio on Linkedin:
linkedin.com/in/valeriovelardo
Follow Valerio on Facebook:
facebook.com/TheSoundOfAI
Follow Valerio on Twitter:
twitter.com/musikalkemist
===============================
Content:
0:00 Intro
0:39 Adapting the train script for urban sound classification
6:27 Summary of training steps
7:20 Running the train script
8:09 What's up next?










