/Urban-Sound-Classification

Using UrbanSound8K dataset from Kaggle, conducted feature extraction by MFCC, MEL-Spectrogram and Chroma_stft, trained a 2D CNN, achieved accuracy of 92.8 %, using Python (tensorflow, kera, librosa)

Primary LanguageJupyter NotebookMIT LicenseMIT

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