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101 lines
2.5 KiB
Plaintext
101 lines
2.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "raw",
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"id": "needed-surface",
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"metadata": {},
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"source": [
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"Notebook extracts ENF signal by pyenf_extraction application\n",
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"Uses reference (002_ref.wav) and original (002.wav) signal"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "endangered-scott",
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"metadata": {
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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"!wget https://github.com/ghuawhu/ENF-WHU-Dataset/blob/master/ENF-WHU-Dataset/H1/002.wav?raw=true\n",
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"!wget https://github.com/ghuawhu/ENF-WHU-Dataset/blob/master/ENF-WHU-Dataset/H1_ref/002_ref.wav?raw=true\n",
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"!git clone https://github.com/deerajnagothu/pyenf_extraction\n",
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" \n",
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"!pip install scipy==1.1.0\n",
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"!pip install numpy==1.21.0\n",
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"!pip install matplotlib==3.4.2\n",
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"!pip install librosa==0.8.1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "failing-upset",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"import numpy as np\n",
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"from lib import extract_enf_signal"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "helpful-employer",
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"metadata": {
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"scrolled": true,
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"tags": []
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/radekludacka/miniconda3/envs/enf/lib/python3.7/site-packages/numpy/core/fromnumeric.py:1970: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
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" result = asarray(a).shape\n"
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]
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}
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],
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"source": [
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"audio = extract_enf_signal('002.wav?raw=true')\n",
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"audio_reference = extract_enf_signal('002_ref.wav?raw=true')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "genuine-grass",
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"metadata": {},
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"outputs": [],
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"source": [
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"np.save('audio.npy', audio)\n",
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"np.save('audio_reference.npy', audio_reference)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Conda Python 3.7 (pyenf)",
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"language": "python",
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"name": "pyenf"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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