notebook.community

Edit and run



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import torchaudio
import pydub
import librosa
import librosa.display

from IPython.display import FileLink, FileLinks
import IPython.display as ipd

%matplotlib notebook



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path = os.path.abspath('/home/justin/rsync_dl_rig/mp3s/Kaskade - Santa Baby ft. Jane.mp3')



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ipd.Audio(filename=path, autoplay=True)



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data, sampling_rate = librosa.load(path, sr=44100, mono=False)



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plt.figure(figsize=(12, 4))
librosa.display.waveplot(data, sr=sampling_rate)



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data.shape



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sampling_rate



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ipd.Audio(data, rate=sampling_rate, autoplay=True)



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librosa.output.write_wav('foo.wav', data, sampling_rate)

Below is how to convert the .wav to .mp3



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librosa.output.write_wav('foo.wav', data, sampling_rate)



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!sox -r 44100 -c 2 foo.wav foo.mp3



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ipd.Audio('foo.mp3', autoplay=True)



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