Upload waveletDenoise.py

waveletDenoise.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+# Function to apply wavelet denoising
+def wavelet_denoise(audio, wavelet='db1', level=1):
+    coeffs = pywt.wavedec(audio, wavelet, mode='per')
+    # Thresholding detail coefficients
+    sigma = np.median(np.abs(coeffs[-level])) / 0.6745
+    uthresh = sigma * np.sqrt(2 * np.log(len(audio)))
+    coeffs[1:] = [pywt.threshold(i, value=uthresh, mode='soft') for i in coeffs[1:]]
+    return pywt.waverec(coeffs, wavelet, mode='per')
+
+
+# In[ ]:
+
+
+
+