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    "# Function to apply wavelet denoising\n",
    "def wavelet_denoise(audio, wavelet='db1', level=1):\n",
    "    coeffs = pywt.wavedec(audio, wavelet, mode='per')\n",
    "    # Thresholding detail coefficients\n",
    "    sigma = np.median(np.abs(coeffs[-level])) / 0.6745\n",
    "    uthresh = sigma * np.sqrt(2 * np.log(len(audio)))\n",
    "    coeffs[1:] = [pywt.threshold(i, value=uthresh, mode='soft') for i in coeffs[1:]]\n",
    "    return pywt.waverec(coeffs, wavelet, mode='per')\n"
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