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"execution_count": null,
"id": "a50be619-3172-4125-8b66-b5c1305fbdc7",
"metadata": {},
"outputs": [],
"source": [
"import wfdb\n",
"import numpy as np\n",
"import soundfile as sf\n",
"import os\n",
"\n",
"for file in os.listdir(\"./voice-icar-federico-ii-database-1.0.0\"):\n",
" if file.endswith(\".hea\"):\n",
" # Load the WFDB record\n",
" record_name = \"./voice-icar-federico-ii-database-1.0.0/\"+os.path.splitext(file)[0] # Change to your filename (without extension)\n",
" record = wfdb.rdrecord(record_name)\n",
" \n",
" # Choose a specific channel (e.g., first channel)\n",
" signal = record.p_signal[:, 0]\n",
" \n",
" # Normalize the signal to the range [-1, 1]\n",
" signal = signal / np.max(np.abs(signal))\n",
" \n",
" # Define sample rate (assuming 360 Hz, change if needed)\n",
" sample_rate = record.fs if record.fs else 360 # Use default 360 Hz\n",
" \n",
" # Save as a WAV file\n",
" path_save_cp = './wavfiles/'\n",
" if not os.path.exists(path_save_cp):\n",
" os.mkdir(path_save_cp)\n",
" output_filename = os.path.splitext(file)[0]\n",
" sf.write(path_save_cp+f\"{output_filename}.wav\", signal, sample_rate)\n",
" \n",
" print(f\"Audio saved as {output_filename}.wav\")"
]
},
{
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"id": "a02e30e0-99a8-494e-a663-7b54442398dd",
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