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@ -1,3 +1,5 @@
import os
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
import librosa import librosa
import librosa.display import librosa.display
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
@ -6,7 +8,7 @@ import torch
from torchlibrosa.augmentation import SpecAugmentation from torchlibrosa.augmentation import SpecAugmentation
# 加载音频文件 # 加载音频文件
file_path = '00_BRUSH.wav' file_path = 'test.wav'
y, sr = librosa.load(file_path, sr=None) y, sr = librosa.load(file_path, sr=None)
# 计算音频信号的 Short-Time Fourier Transform (STFT) # 计算音频信号的 Short-Time Fourier Transform (STFT)
@ -20,6 +22,7 @@ plt.figure(figsize=(10, 6))
librosa.display.specshow(spectrogram, sr=sr, x_axis='time', y_axis='log') librosa.display.specshow(spectrogram, sr=sr, x_axis='time', y_axis='log')
plt.colorbar(format='%+2.0f dB') plt.colorbar(format='%+2.0f dB')
plt.title('origin spectrogram') plt.title('origin spectrogram')
plt.savefig('origin_spectrogram.png') plt.savefig('origin_spectrogram.png')

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