This project is a classification of audio of cities. This task is solved using some Jupyter Notebook, one for algorithm type. The algorithms used are AdaBoost, KNN, LeNet and SVM. In this folder there are the Jupyter Notebooks for algorithms and one Jupyter Notebook for audio acquisition and saving data as NumPy array.
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City audio classification is the process of automatically categorizing sounds and noises recorded in urban environments. City audio classification is a valuable tool for urban planners, policymakers, and r
cozzolinoac11/city_audio_classification
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City audio classification is the process of automatically categorizing sounds and noises recorded in urban environments. City audio classification is a valuable tool for urban planners, policymakers, and r
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