Shypd.aiThe largest open index of AI toolsUrban-Sound-Classification is an open-source deep learning project for classifying urban sounds. It provides notebooks for feedforward, convolutional, and recurrent neural networks, utilizing the UrbanSound8k dataset.
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Urban-Sound-Classification is an open-source deep learning project designed for the classification of urban sounds. It offers a comprehensive set of Jupyter notebooks demonstrating various neural network architectures, including feedforward, convolutional, and recurrent neural networks. The project is built using Python 3.5 (or above) and leverages popular libraries such as Tensorflow 2.x, Numpy, Matplotlib, and Librosa. It primarily uses the UrbanSound8k dataset for model training, with Google's AudioSet suggested as an alternative. This tool is ideal for researchers, students, and developers interested in deep learning applications for audio analysis and sound classification, providing a practical foundation for understanding and implementing these techniques.
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