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urbansound8k-dataset

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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

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