28 lines
738 B
Python
28 lines
738 B
Python
import matplotlib.pyplot as plt
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import librosa
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import mlflow
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SAMPLE_RATE = 22050
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def logSpec(spec,e):
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#spec = ((spec*40)-40)
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#spec = librosa.db_to_amplitude(spec)
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plt.figure(figsize=(10, 4))
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librosa.display.specshow(spec, sr=SAMPLE_RATE,
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x_axis='time', y_axis='mel',
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cmap='viridis')
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plt.colorbar(format='%+2.0f dB')
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plt.title('Mel spectrogram')
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mlflow.log_figure(plt.gcf(), f"output_{e}.png")
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#plt.close()
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def playSpec(spec):
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S = librosa.feature.inverse.mel_to_stft(spec, sr=SAMPLE_RATE)
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audio = librosa.griffinlim(S,n_iter=25,momentum=0.99)
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plt.figure(figsize=(12,4))
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plt.plot(audio)
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plt.title('waveform')
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plt.close()
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