49 lines
832 B
Python
49 lines
832 B
Python
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import matplotlib.pyplot as plt
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import numpy as np
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n_plots = 5
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endtime = 4
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size = 1000
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time = np.linspace(0,endtime,size)
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audio = 1023*np.random.random(size=(size))
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audio = 512+(audio-512)*(0.2)*np.sin(np.linspace(0,endtime*2*3.14*2, size))+(audio-512)*0.3
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fig, axs = plt.subplots(n_plots, 1)
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axs[0].plot(time,audio)
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audio_norm = audio-512
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axs[1].plot(time,audio_norm)
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spc = size/endtime
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audio_norm = np.array(audio_norm)
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audio_squared = np.square(audio_norm)
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axs[2].plot(time, audio_squared)
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spc = int(size/endtime/40)
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chunks = list()
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chunktimes = list()
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energy = 0
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i = 0
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for sample, timepoint in zip(audio_squared, time):
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energy += sample
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i += 1
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if i > spc:
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i = 0
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chunks.append(energy)
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chunktimes.append(timepoint)
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energy = 0
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axs[3].plot(chunktimes, chunks)
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plt.show() |