# Function to apply wavelet denoising import pywt import numpy as np def wavelet_denoise(audio, wavelet='db1', level=1): coeffs = pywt.wavedec(audio, wavelet, mode='per') sigma = np.median(np.abs(coeffs[-level])) / 0.5 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')