def plot_log_power_specgram(sound_names,raw_sounds):
i = 1
fig = plt.figure(figsize=(25,60), dpi = 900)
for n,f in zip(sound_names,raw_sounds):
plt.subplot(10,1,i)
D = librosa.logamplitude(np.abs(librosa.stft(f))**2, ref_power=np.max)
librosa.display.specshow(D,x_axis='time' ,y_axis='log')
plt.title(n.title())
i += 1
plt.suptitle('Figure 3: Log power spectrogram',x=0.5, y=0.915,fontsize=18)
plt.show()
neural_network_audioset.py 文件源码
python
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