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%matplotlib inline
import numpy as np
import matplotlib
matplotlib.rcParams['figure.figsize'] = (12, 9)
# Import Jupyter's sound player widget
# See: https://ipython.org/ipython-doc/dev/api/generated/IPython.display.html#IPython.display.Audio
from IPython.display import Audio
Official documentation: https://docs.scipy.org/doc/scipy/reference/io.html#module-scipy.io.wavfile
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from scipy.io import wavfile
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sample_rate = 44100 # in samples/sec
t = np.linspace(0, 5, sample_rate*5)
data = np.sin(2*np.pi*220*t) + np.sin(2*np.pi*224*t)
data /= 2. # to keep data between -1 and 1
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data.min(), data.max()
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wavfile.write("foo.wav", sample_rate, data)
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Audio(data, rate=sample_rate)
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Audio("foo.wav")
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sample_rate, data = wavfile.read("foo.wav")
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sample_rate, data.shape, data.min(), data.max()
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Audio(data, rate=sample_rate)
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plt.plot(data[0:20000]);
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#!wget -O sound.wav https://github.com/karoldvl/ESC-50/raw/master/audio/1-100038-A-14.wav
!wget -O sound.wav https://github.com/jdhp-misc/sample-sounds/raw/master/piano_notes/386725__luckylux__sol.wav
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sample_rate, data = wavfile.read("sound.wav")
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data.shape
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Audio(data[:,0], rate=sample_rate)
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plt.plot(data[:,0]);
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!rm sound.wav