{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import librosa\n",
    "import soundfile as sf\n",
    "import io\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from moviepy.editor import VideoFileClip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('features.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extract audio from video without saving a file\n",
    "video_clip = VideoFileClip(r\"train_sample_videos/aagfhgtpmv.mp4\")\n",
    "audio = video_clip.audio\n",
    "fps = audio.fps\n",
    "\n",
    "# Extract audio frames and flatten the array to 1D\n",
    "audio_samples = np.array(list(audio.iter_frames(fps=fps, dtype=\"float32\"))).flatten()\n",
    "\n",
    "# Write audio samples to buffer in WAV format\n",
    "buffer = io.BytesIO()\n",
    "sf.write(buffer, audio_samples, fps, format='WAV')\n",
    "buffer.seek(0)  # Reset buffer position to the beginning\n",
    "\n",
    "# Load audio from buffer into librosa\n",
    "x, sr = librosa.load(buffer, sr=None)\n",
    "\n",
    "# Compute the Mel spectrogram\n",
    "S = librosa.feature.melspectrogram(y=x, sr=sr)\n",
    "\n",
    "# Compute the polynomial features from the Mel spectrogram\n",
    "poly_features = librosa.feature.poly_features(S=S, order=4)\n",
    "\n",
    "# Plot the polynomial features\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.plot(poly_features[1], label=\"Poly Feature 0\")\n",
    "plt.plot(poly_features[2], label=\"Poly Feature 1\")\n",
    "plt.legend()\n",
    "\n",
    "# Add title and labels\n",
    "plt.title(\"Polynomial Features from Mel Spectrogram\")\n",
    "plt.xlabel(\"Frames\")\n",
    "plt.ylabel(\"Magnitude\")\n",
    "\n",
    "plt.savefig('figures/poly_features.png', dpi = 800)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FileName</th>\n",
       "      <th>rmse</th>\n",
       "      <th>zcr</th>\n",
       "      <th>tempo</th>\n",
       "      <th>spectral_centroid</th>\n",
       "      <th>spectral_bandwidth</th>\n",
       "      <th>spectral_contrast</th>\n",
       "      <th>spectral_flatness</th>\n",
       "      <th>spectral_rolloff</th>\n",
       "      <th>mfcc1</th>\n",
       "      <th>...</th>\n",
       "      <th>mfcc12</th>\n",
       "      <th>mfcc13</th>\n",
       "      <th>mfcc14</th>\n",
       "      <th>mfcc15</th>\n",
       "      <th>mfcc16</th>\n",
       "      <th>mfcc17</th>\n",
       "      <th>mfcc18</th>\n",
       "      <th>mfcc19</th>\n",
       "      <th>mfcc20</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bbvgxeczei.mp4</td>\n",
       "      <td>0.008028</td>\n",
       "      <td>0.038316</td>\n",
       "      <td>114.843750</td>\n",
       "      <td>3044.967492</td>\n",
       "      <td>5054.150023</td>\n",
       "      <td>16.414213</td>\n",
       "      <td>0.005748</td>\n",
       "      <td>5682.982621</td>\n",
       "      <td>-490.07425</td>\n",
       "      <td>...</td>\n",
       "      <td>4.405778</td>\n",
       "      <td>-4.854592</td>\n",
       "      <td>-7.056202</td>\n",
       "      <td>-2.636595</td>\n",
       "      <td>-9.831662</td>\n",
       "      <td>-7.514642</td>\n",
       "      <td>-8.755273</td>\n",
       "      <td>-1.896833</td>\n",
       "      <td>-2.603562</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>agqphdxmwt.mp4</td>\n",
       "      <td>0.005214</td>\n",
       "      <td>0.041688</td>\n",
       "      <td>123.046875</td>\n",
       "      <td>3522.410712</td>\n",
       "      <td>5273.395038</td>\n",
       "      <td>15.003604</td>\n",
       "      <td>0.007969</td>\n",
       "      <td>7564.151674</td>\n",
       "      <td>-544.73663</td>\n",
       "      <td>...</td>\n",
       "      <td>12.557711</td>\n",
       "      <td>-6.926794</td>\n",
       "      <td>-1.758291</td>\n",
       "      <td>-2.297427</td>\n",
       "      <td>-6.438809</td>\n",
       "      <td>-0.577922</td>\n",
       "      <td>-3.541346</td>\n",
       "      <td>-1.711840</td>\n",
       "      <td>-0.793243</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>cglxirfaey.mp4</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.073073</td>\n",
       "      <td>120.185320</td>\n",
       "      <td>5057.993566</td>\n",
       "      <td>5686.422947</td>\n",
       "      <td>13.394466</td>\n",
       "      <td>0.038380</td>\n",
       "      <td>12171.683589</td>\n",
       "      <td>-809.70215</td>\n",
       "      <td>...</td>\n",
       "      <td>7.754112</td>\n",
       "      <td>-0.916289</td>\n",
       "      <td>3.209106</td>\n",
       "      <td>-1.237075</td>\n",
       "      <td>1.662170</td>\n",
       "      <td>-4.138675</td>\n",
       "      <td>3.358046</td>\n",
       "      <td>-2.736235</td>\n",
       "      <td>0.954534</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ekhacizpah.mp4</td>\n",
       "      <td>0.032205</td>\n",
       "      <td>0.023700</td>\n",
       "      <td>126.048018</td>\n",
       "      <td>2369.255016</td>\n",
       "      <td>4806.154161</td>\n",
       "      <td>16.368527</td>\n",
       "      <td>0.001560</td>\n",
       "      <td>3229.456789</td>\n",
       "      <td>-340.31854</td>\n",
       "      <td>...</td>\n",
       "      <td>2.123348</td>\n",
       "      <td>-3.004771</td>\n",
       "      <td>-2.435924</td>\n",
       "      <td>5.287929</td>\n",
       "      <td>-9.668341</td>\n",
       "      <td>0.485538</td>\n",
       "      <td>-0.291376</td>\n",
       "      <td>6.767036</td>\n",
       "      <td>-2.478494</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ahbweevwpv.mp4</td>\n",
       "      <td>0.031066</td>\n",
       "      <td>0.019815</td>\n",
       "      <td>117.453835</td>\n",
       "      <td>2084.400204</td>\n",
       "      <td>4570.329358</td>\n",
       "      <td>15.247853</td>\n",
       "      <td>0.001029</td>\n",
       "      <td>2592.238562</td>\n",
       "      <td>-361.49948</td>\n",
       "      <td>...</td>\n",
       "      <td>5.199107</td>\n",
       "      <td>3.196825</td>\n",
       "      <td>-3.196581</td>\n",
       "      <td>0.345530</td>\n",
       "      <td>-10.903251</td>\n",
       "      <td>2.098206</td>\n",
       "      <td>-4.634393</td>\n",
       "      <td>4.790202</td>\n",
       "      <td>-2.696295</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>btjlfpzbdu.mp4</td>\n",
       "      <td>0.062160</td>\n",
       "      <td>0.011180</td>\n",
       "      <td>126.048018</td>\n",
       "      <td>1652.398101</td>\n",
       "      <td>4098.890492</td>\n",
       "      <td>16.571897</td>\n",
       "      <td>0.000542</td>\n",
       "      <td>2069.194938</td>\n",
       "      <td>-351.21725</td>\n",
       "      <td>...</td>\n",
       "      <td>7.138178</td>\n",
       "      <td>4.056450</td>\n",
       "      <td>-0.416696</td>\n",
       "      <td>4.311500</td>\n",
       "      <td>-4.964599</td>\n",
       "      <td>-0.078893</td>\n",
       "      <td>2.780434</td>\n",
       "      <td>7.019896</td>\n",
       "      <td>2.743258</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>duzuusuajr.mp4</td>\n",
       "      <td>0.010226</td>\n",
       "      <td>0.033884</td>\n",
       "      <td>123.046875</td>\n",
       "      <td>2799.805994</td>\n",
       "      <td>5002.288248</td>\n",
       "      <td>15.869884</td>\n",
       "      <td>0.003673</td>\n",
       "      <td>4779.298798</td>\n",
       "      <td>-458.70963</td>\n",
       "      <td>...</td>\n",
       "      <td>0.454649</td>\n",
       "      <td>-5.337661</td>\n",
       "      <td>-7.836361</td>\n",
       "      <td>-2.688951</td>\n",
       "      <td>-10.671743</td>\n",
       "      <td>-6.645610</td>\n",
       "      <td>-8.645223</td>\n",
       "      <td>-2.095698</td>\n",
       "      <td>-3.208719</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>dxuliowugt.mp4</td>\n",
       "      <td>0.008680</td>\n",
       "      <td>0.029999</td>\n",
       "      <td>123.046875</td>\n",
       "      <td>2686.293526</td>\n",
       "      <td>4930.656757</td>\n",
       "      <td>16.068878</td>\n",
       "      <td>0.004149</td>\n",
       "      <td>4383.434486</td>\n",
       "      <td>-489.67276</td>\n",
       "      <td>...</td>\n",
       "      <td>4.150144</td>\n",
       "      <td>-3.787300</td>\n",
       "      <td>-6.313182</td>\n",
       "      <td>-1.511123</td>\n",
       "      <td>-10.802405</td>\n",
       "      <td>-3.185559</td>\n",
       "      <td>-8.830258</td>\n",
       "      <td>-2.280676</td>\n",
       "      <td>-5.673003</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>dozyddhild.mp4</td>\n",
       "      <td>0.037665</td>\n",
       "      <td>0.041988</td>\n",
       "      <td>117.453835</td>\n",
       "      <td>3092.296261</td>\n",
       "      <td>5213.102108</td>\n",
       "      <td>18.349124</td>\n",
       "      <td>0.004358</td>\n",
       "      <td>4943.185550</td>\n",
       "      <td>-337.55110</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.772953</td>\n",
       "      <td>-7.396572</td>\n",
       "      <td>-14.746246</td>\n",
       "      <td>-3.176184</td>\n",
       "      <td>-2.532345</td>\n",
       "      <td>3.301229</td>\n",
       "      <td>-19.290184</td>\n",
       "      <td>-1.723458</td>\n",
       "      <td>-3.074266</td>\n",
       "      <td>FAKE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>drcyabprvt.mp4</td>\n",
       "      <td>0.062160</td>\n",
       "      <td>0.011180</td>\n",
       "      <td>126.048018</td>\n",
       "      <td>1652.398101</td>\n",
       "      <td>4098.890492</td>\n",
       "      <td>16.571897</td>\n",
       "      <td>0.000542</td>\n",
       "      <td>2069.194938</td>\n",
       "      <td>-351.21725</td>\n",
       "      <td>...</td>\n",
       "      <td>7.138178</td>\n",
       "      <td>4.056450</td>\n",
       "      <td>-0.416696</td>\n",
       "      <td>4.311500</td>\n",
       "      <td>-4.964599</td>\n",
       "      <td>-0.078893</td>\n",
       "      <td>2.780434</td>\n",
       "      <td>7.019896</td>\n",
       "      <td>2.743258</td>\n",
       "      <td>REAL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>400 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           FileName      rmse       zcr       tempo  spectral_centroid  \\\n",
       "0    bbvgxeczei.mp4  0.008028  0.038316  114.843750        3044.967492   \n",
       "1    agqphdxmwt.mp4  0.005214  0.041688  123.046875        3522.410712   \n",
       "2    cglxirfaey.mp4  0.000189  0.073073  120.185320        5057.993566   \n",
       "3    ekhacizpah.mp4  0.032205  0.023700  126.048018        2369.255016   \n",
       "4    ahbweevwpv.mp4  0.031066  0.019815  117.453835        2084.400204   \n",
       "..              ...       ...       ...         ...                ...   \n",
       "395  btjlfpzbdu.mp4  0.062160  0.011180  126.048018        1652.398101   \n",
       "396  duzuusuajr.mp4  0.010226  0.033884  123.046875        2799.805994   \n",
       "397  dxuliowugt.mp4  0.008680  0.029999  123.046875        2686.293526   \n",
       "398  dozyddhild.mp4  0.037665  0.041988  117.453835        3092.296261   \n",
       "399  drcyabprvt.mp4  0.062160  0.011180  126.048018        1652.398101   \n",
       "\n",
       "     spectral_bandwidth  spectral_contrast  spectral_flatness  \\\n",
       "0           5054.150023          16.414213           0.005748   \n",
       "1           5273.395038          15.003604           0.007969   \n",
       "2           5686.422947          13.394466           0.038380   \n",
       "3           4806.154161          16.368527           0.001560   \n",
       "4           4570.329358          15.247853           0.001029   \n",
       "..                  ...                ...                ...   \n",
       "395         4098.890492          16.571897           0.000542   \n",
       "396         5002.288248          15.869884           0.003673   \n",
       "397         4930.656757          16.068878           0.004149   \n",
       "398         5213.102108          18.349124           0.004358   \n",
       "399         4098.890492          16.571897           0.000542   \n",
       "\n",
       "     spectral_rolloff      mfcc1  ...     mfcc12    mfcc13     mfcc14  \\\n",
       "0         5682.982621 -490.07425  ...   4.405778 -4.854592  -7.056202   \n",
       "1         7564.151674 -544.73663  ...  12.557711 -6.926794  -1.758291   \n",
       "2        12171.683589 -809.70215  ...   7.754112 -0.916289   3.209106   \n",
       "3         3229.456789 -340.31854  ...   2.123348 -3.004771  -2.435924   \n",
       "4         2592.238562 -361.49948  ...   5.199107  3.196825  -3.196581   \n",
       "..                ...        ...  ...        ...       ...        ...   \n",
       "395       2069.194938 -351.21725  ...   7.138178  4.056450  -0.416696   \n",
       "396       4779.298798 -458.70963  ...   0.454649 -5.337661  -7.836361   \n",
       "397       4383.434486 -489.67276  ...   4.150144 -3.787300  -6.313182   \n",
       "398       4943.185550 -337.55110  ...  -6.772953 -7.396572 -14.746246   \n",
       "399       2069.194938 -351.21725  ...   7.138178  4.056450  -0.416696   \n",
       "\n",
       "       mfcc15     mfcc16    mfcc17     mfcc18    mfcc19    mfcc20  label  \n",
       "0   -2.636595  -9.831662 -7.514642  -8.755273 -1.896833 -2.603562   FAKE  \n",
       "1   -2.297427  -6.438809 -0.577922  -3.541346 -1.711840 -0.793243   FAKE  \n",
       "2   -1.237075   1.662170 -4.138675   3.358046 -2.736235  0.954534   FAKE  \n",
       "3    5.287929  -9.668341  0.485538  -0.291376  6.767036 -2.478494   FAKE  \n",
       "4    0.345530 -10.903251  2.098206  -4.634393  4.790202 -2.696295   FAKE  \n",
       "..        ...        ...       ...        ...       ...       ...    ...  \n",
       "395  4.311500  -4.964599 -0.078893   2.780434  7.019896  2.743258   FAKE  \n",
       "396 -2.688951 -10.671743 -6.645610  -8.645223 -2.095698 -3.208719   FAKE  \n",
       "397 -1.511123 -10.802405 -3.185559  -8.830258 -2.280676 -5.673003   FAKE  \n",
       "398 -3.176184  -2.532345  3.301229 -19.290184 -1.723458 -3.074266   FAKE  \n",
       "399  4.311500  -4.964599 -0.078893   2.780434  7.019896  2.743258   REAL  \n",
       "\n",
       "[400 rows x 30 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_columns = ['rmse', 'zcr', 'tempo', 'spectral_centroid', 'spectral_bandwidth', 'spectral_contrast', 'spectral_flatness', 'spectral_rolloff']"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}