Skip to content
#

urbansound8k

Here are 20 public repositories matching this topic...

sound_classification_ml_production

In this repository you will find an end to end hands-on tutorial of an example of machine learning in production. The objective will be to create and deploy in the cloud a machine learning application able to recognize and classify different audio sounds.

  • Updated Feb 8, 2021
  • Jupyter Notebook

This project classifies urban noise using machine learning models such as DNN, CNN, LSTM, and Random Forest. Utilizing the UrbanSound8K dataset, it aims to accurately identify different urban sounds, aiding in noise monitoring and management. Key features include robust model comparison and real-time deployment potential.

  • Updated Jun 15, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the urbansound8k topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the urbansound8k topic, visit your repo's landing page and select "manage topics."

Learn more