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urbansound8k-dataset

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sound_classification_ml_production

jsalbert / sound_classification_ml_production

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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.

docker flask data-science machine-learning tutorial deep-learning tensorflow keras colab convolutional-neural-networks data-exploration cnns urbansound8k urbansound8k-dataset
  • Updated Feb 8, 2021
  • Jupyter Notebook

cavadibrahimli1 / Urban-Noise-Classification-ML

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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.

machine-learning signal-processing machine-learning-algorithms cnn dnn lstm itu istanbul-technical-university urbansound8k urbansound8k-dataset
  • Updated Jun 15, 2024
  • Jupyter Notebook

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