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:
Preprocessing audio data for deep learning/code
Melodrive:
Valerio’s Lin
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