55 lines
1.2 KiB
Python
55 lines
1.2 KiB
Python
import soundbox
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import numpy as np
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import scipy.signal as sig
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import matplotlib
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import matplotlib.pyplot as plt
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import sys
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if len(sys.argv) != 3:
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print(f"""Utilisation: {sys.argv[0]} [source] [output]
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Génère le sonagramme du fichier [source] dans le fichier [output].""")
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sys.exit(1)
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source_file = sys.argv[1]
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output_file = sys.argv[2]
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# Calcul du STFT
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signal = soundbox.load_signal(source_file)
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freq, time, fts = sig.stft(signal, soundbox.samp_rate, nperseg=soundbox.samp_rate * 0.5)
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# Génération du graphe
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plt.rcParams.update({
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'figure.figsize': (8, 8),
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'font.size': 16,
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'font.family': 'Concourse T4',
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})
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fig, ax = plt.subplots()
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ax.tick_params(axis='both', which='major', labelsize=12)
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ax.pcolormesh(
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time, freq,
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np.abs(fts),
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cmap='plasma',
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shading='gouraud')
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def time_format(value, pos):
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return f'{value:.0f} s'
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def freq_format(value, pos):
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return f'{value:.0f} Hz'
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ax.set_xlabel('Temps')
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ax.xaxis.set_major_formatter(matplotlib.ticker.FuncFormatter(time_format))
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ax.set_ylabel('Fréquence')
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ax.set_ylim(0, 800)
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ax.yaxis.set_major_formatter(matplotlib.ticker.FuncFormatter(freq_format))
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# Sauvegarde comme image
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plt.tight_layout()
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plt.savefig(output_file)
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