In this video, I show how to get audio data ready for deep learning applications using Python and an audio analysis library called Librosa. Starting from an audio file, I perform the Fourier Transform to extract the power spectrum and the spectrogram. I also show how to extract MFCCs and visualise all features.
Code:
https://github.com/musikalkemist/DeepLearningForAudioWithPython/tree/master/11-%20Preprocessing%20audio%20data%20for%20deep%20learning/code
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