training_ann.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multilabel classification of silence, biophony, rain, wind, and aircraft in soundscapes\n",
    "\n",
    "\n",
    "This script is adapted from the original script used for the article :\n",
    "\n",
    "    Grinfeder, E., Haupert, S., Ducrettet, M., Barlet, J., Reynet, M. P., Sèbe, F., & Sueur, J. (2022). Soundscape dynamics of a cold protected forest: dominance of aircraft noise. Landscape Ecology, 1-16.\n",
    "\n",
    "## Site and recording\n",
    "The audio recordings were collected in a temperate cold climax forest locally named ‘Risoux’. The forest is located in the East of France in the Jura Mountains at the Swiss border and the closest city is Morez (46° 31′ 22″ N, 6° 01′ 23″ E). The forest soundscape was recorded using four automatic SongMeter 4 recorders (Wildlife Acoustics Inc, Concord, MA, USA). These recorders were installed across the Risoux Forest central zone, along a West–East axis. The distance between the recorders was 1.00 ± 0.10 km. The position of the recorders was chosen to (1) cover the forest area, (2) sample a single habitat defined by the dominance of the European spruce, (3) avoid pseudo-replication between neighboring recorders, and (4) avoid anthropogenic noise due to car traffic and local activities \n",
    "\n",
    "## Supervised sound classification\n",
    "In order to assess variations in the main forest soundscape components over space and time, a supervised sound classification was achieved. Five sound types were classified: aircraft (anthropophony), wind (geophony), rain (geophony), biophony, and silence. Anthropophony was dominated by aircraft, as the recording sites were chosen to be distant from other human activities (ground based transportation, hiking, skiing, hunting and logging). Biophony was defined as any sound attributed to animal vocalization or movement. Silence was defined as the absence of any emergent sound. Classification was based on an artificial neural network (ANN) trained on a subsample of manually labelled sounds. The subsample contained 1% (i.e. 1314 files) of all recordings and was built to ensure a balanced dataset that is representative of (1) the four recording sites, (2) the 12 months of the year, (3) the seven week days and (4) the 24 h of a day-and-night cycle. Each recording was then listened to and manually classified as one of the five sound types by one of us (EG) using Audacity v2.3.2 (Audacity team 2019)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Type 'citation(\"pROC\")' for a citation.\n",
      "\n",
      "\n",
      "Attaching package: ‘pROC’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    cov, smooth, var\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "################################\n",
    "# Load libraries\n",
    "################################\n",
    "\n",
    "library(tuneR)\n",
    "library(seewave)\n",
    "library(neuralnet)\n",
    "library(pROC)\n",
    "options(warn = -1)\n",
    "\n",
    "################################\n",
    "# Set constants\n",
    "################################\n",
    "\n",
    "COMPUTE_MFFC <- FALSE\n",
    "DATA_PATH <- \"./audio_recordings/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 1314 × 15</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>filename</th><th scope=col>model</th><th scope=col>prefix</th><th scope=col>year</th><th scope=col>month</th><th scope=col>day</th><th scope=col>hour</th><th scope=col>min</th><th scope=col>sec</th><th scope=col>date</th><th scope=col>plane</th><th scope=col>wind</th><th scope=col>rain</th><th scope=col>biophony</th><th scope=col>silence</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
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       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
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       "\t<tr><td>S4A04430_20180718_181500.wav</td><td>SM1306</td><td>S4A04430</td><td>2018</td><td>7</td><td>18</td><td>18</td><td>15</td><td>0</td><td>7/18/2018 18:15</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180719_013000.wav</td><td>SM1307</td><td>S4A04430</td><td>2018</td><td>7</td><td>19</td><td> 1</td><td>30</td><td>0</td><td>7/19/2018 1:30 </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180720_091500.wav</td><td>SM1308</td><td>S4A04430</td><td>2018</td><td>7</td><td>20</td><td> 9</td><td>15</td><td>0</td><td>7/20/2018 9:15 </td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180720_231500.wav</td><td>SM1309</td><td>S4A04430</td><td>2018</td><td>7</td><td>20</td><td>23</td><td>15</td><td>0</td><td>7/20/2018 23:15</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180721_204500.wav</td><td>SM1310</td><td>S4A04430</td><td>2018</td><td>7</td><td>21</td><td>20</td><td>45</td><td>0</td><td>7/21/2018 20:45</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180723_091500.wav</td><td>SM1311</td><td>S4A04430</td><td>2018</td><td>7</td><td>23</td><td> 9</td><td>15</td><td>0</td><td>7/23/2018 9:15 </td><td>1</td><td>1</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180723_234500.wav</td><td>SM1312</td><td>S4A04430</td><td>2018</td><td>7</td><td>23</td><td>23</td><td>45</td><td>0</td><td>7/23/2018 23:45</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180724_203000.wav</td><td>SM1313</td><td>S4A04430</td><td>2018</td><td>7</td><td>24</td><td>20</td><td>30</td><td>0</td><td>7/24/2018 20:30</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180726_191500.wav</td><td>SM1314</td><td>S4A04430</td><td>2018</td><td>7</td><td>26</td><td>19</td><td>15</td><td>0</td><td>7/26/2018 19:15</td><td>1</td><td>1</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180727_011500.wav</td><td>SM1315</td><td>S4A04430</td><td>2018</td><td>7</td><td>27</td><td> 1</td><td>15</td><td>0</td><td>7/27/2018 1:15 </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180730_101500.wav</td><td>SM1316</td><td>S4A04430</td><td>2018</td><td>7</td><td>30</td><td>10</td><td>15</td><td>0</td><td>7/30/2018 10:15</td><td>1</td><td>1</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><td>S4A04430_20180730_214500.wav</td><td>SM1317</td><td>S4A04430</td><td>2018</td><td>7</td><td>30</td><td>21</td><td>45</td><td>0</td><td>7/30/2018 21:45</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 1314 × 15\n",
       "\\begin{tabular}{lllllllllllllll}\n",
       " filename & model & prefix & year & month & day & hour & min & sec & date & plane & wind & rain & biophony & silence\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int> & <int> & <int> & <int> & <int> & <chr> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t S4A03536\\_20180801\\_123000.wav & SM4  & S4A03536 & 2018 & 8 &  1 & 12 & 30 & 0 & 8/1/2018 12:30  & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180805\\_084500.wav & SM5  & S4A03536 & 2018 & 8 &  5 &  8 & 45 & 0 & 8/5/2018 8:45   & 0 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180805\\_193000.wav & SM6  & S4A03536 & 2018 & 8 &  5 & 19 & 30 & 0 & 8/5/2018 19:30  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180807\\_083000.wav & SM7  & S4A03536 & 2018 & 8 &  7 &  8 & 30 & 0 & 8/7/2018 8:30   & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180808\\_021500.wav & SM8  & S4A03536 & 2018 & 8 &  8 &  2 & 15 & 0 & 8/8/2018 2:15   & 0 & 0 & 0 & 0 & 1\\\\\n",
       "\t S4A03536\\_20180808\\_090000.wav & SM9  & S4A03536 & 2018 & 8 &  8 &  9 &  0 & 0 & 8/8/2018 9:00   & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180810\\_030000.wav & SM10 & S4A03536 & 2018 & 8 & 10 &  3 &  0 & 0 & 8/10/2018 3:00  & 0 & 0 & 0 & 0 & 1\\\\\n",
       "\t S4A03536\\_20180811\\_073000.wav & SM11 & S4A03536 & 2018 & 8 & 11 &  7 & 30 & 0 & 8/11/2018 7:30  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180811\\_120000.wav & SM12 & S4A03536 & 2018 & 8 & 11 & 12 &  0 & 0 & 8/11/2018 12:00 & 0 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180811\\_174500.wav & SM13 & S4A03536 & 2018 & 8 & 11 & 17 & 45 & 0 & 8/11/2018 17:45 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180812\\_061500.wav & SM14 & S4A03536 & 2018 & 8 & 12 &  6 & 15 & 0 & 8/12/2018 6:15  & 0 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180816\\_130000.wav & SM15 & S4A03536 & 2018 & 8 & 16 & 13 &  0 & 0 & 8/16/2018 13:00 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180818\\_031500.wav & SM16 & S4A03536 & 2018 & 8 & 18 &  3 & 15 & 0 & 8/18/2018 3:15  & 0 & 1 & 0 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180818\\_234500.wav & SM17 & S4A03536 & 2018 & 8 & 18 & 23 & 45 & 0 & 8/18/2018 23:45 & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180819\\_114500.wav & SM18 & S4A03536 & 2018 & 8 & 19 & 11 & 45 & 0 & 8/19/2018 11:45 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180820\\_233000.wav & SM19 & S4A03536 & 2018 & 8 & 20 & 23 & 30 & 0 & 8/20/2018 23:30 & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180821\\_090000.wav & SM20 & S4A03536 & 2018 & 8 & 21 &  9 &  0 & 0 & 8/21/2018 9:00  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180822\\_144500.wav & SM21 & S4A03536 & 2018 & 8 & 22 & 14 & 45 & 0 & 8/22/2018 14:45 & 1 & 0 & 1 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180822\\_224500.wav & SM22 & S4A03536 & 2018 & 8 & 22 & 22 & 45 & 0 & 8/22/2018 22:45 & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180823\\_214500.wav & SM23 & S4A03536 & 2018 & 8 & 23 & 21 & 45 & 0 & 8/23/2018 21:45 & 1 & 0 & 1 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180824\\_063000.wav & SM24 & S4A03536 & 2018 & 8 & 24 &  6 & 30 & 0 & 8/24/2018 6:30  & 1 & 0 & 1 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180827\\_020000.wav & SM25 & S4A03536 & 2018 & 8 & 27 &  2 &  0 & 0 & 8/27/2018 2:00  & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180827\\_034500.wav & SM26 & S4A03536 & 2018 & 8 & 27 &  3 & 45 & 0 & 8/27/2018 3:45  & 0 & 0 & 0 & 0 & 1\\\\\n",
       "\t S4A03536\\_20180829\\_074500.wav & SM27 & S4A03536 & 2018 & 8 & 29 &  7 & 45 & 0 & 8/29/2018 7:45  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180829\\_083000.wav & SM28 & S4A03536 & 2018 & 8 & 29 &  8 & 30 & 0 & 8/29/2018 8:30  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180830\\_163000.wav & SM29 & S4A03536 & 2018 & 8 & 30 & 16 & 30 & 0 & 8/30/2018 16:30 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180902\\_113000.wav & SM30 & S4A03536 & 2018 & 9 &  2 & 11 & 30 & 0 & 9/2/2018 11:30  & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180902\\_221500.wav & SM31 & S4A03536 & 2018 & 9 &  2 & 22 & 15 & 0 & 9/2/2018 22:15  & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A03536\\_20180905\\_063000.wav & SM32 & S4A03536 & 2018 & 9 &  5 &  6 & 30 & 0 & 9/5/2018 6:30   & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A03536\\_20180905\\_151500.wav & SM33 & S4A03536 & 2018 & 9 &  5 & 15 & 15 & 0 & 9/5/2018 15:15  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t S4A04430\\_20190619\\_163000.wav & SM1288 & S4A04430 & 2019 & 6 & 19 & 16 & 30 & 0 & 6/19/2019 16:30 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190619\\_174500.wav & SM1289 & S4A04430 & 2019 & 6 & 19 & 17 & 45 & 0 & 6/19/2019 17:45 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190620\\_030000.wav & SM1290 & S4A04430 & 2019 & 6 & 20 &  3 &  0 & 0 & 6/20/2019 3:00  & 1 & 0 & 1 & 0 & 0\\\\\n",
       "\t S4A04430\\_20190620\\_193000.wav & SM1291 & S4A04430 & 2019 & 6 & 20 & 19 & 30 & 0 & 6/20/2019 19:30 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190623\\_131500.wav & SM1292 & S4A04430 & 2019 & 6 & 23 & 13 & 15 & 0 & 6/23/2019 13:15 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190624\\_234500.wav & SM1293 & S4A04430 & 2019 & 6 & 24 & 23 & 45 & 0 & 6/24/2019 23:45 & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A04430\\_20190625\\_124500.wav & SM1294 & S4A04430 & 2019 & 6 & 25 & 12 & 45 & 0 & 6/25/2019 12:45 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190625\\_200000.wav & SM1295 & S4A04430 & 2019 & 6 & 25 & 20 &  0 & 0 & 6/25/2019 20:00 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190626\\_063000.wav & SM1296 & S4A04430 & 2019 & 6 & 26 &  6 & 30 & 0 & 6/26/2019 6:30  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190626\\_101500.wav & SM1297 & S4A04430 & 2019 & 6 & 26 & 10 & 15 & 0 & 6/26/2019 10:15 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20190628\\_161500.wav & SM1298 & S4A04430 & 2019 & 6 & 28 & 16 & 15 & 0 & 6/28/2019 16:15 & 1 & 1 & 0 & 0 & 0\\\\\n",
       "\t S4A04430\\_20190630\\_111500.wav & SM1299 & S4A04430 & 2019 & 6 & 30 & 11 & 15 & 0 & 6/30/2019 11:15 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180714\\_034500.wav & SM1300 & S4A04430 & 2018 & 7 & 14 &  3 & 45 & 0 & 7/14/2018 3:45  & 0 & 0 & 0 & 0 & 1\\\\\n",
       "\t S4A04430\\_20180714\\_203000.wav & SM1301 & S4A04430 & 2018 & 7 & 14 & 20 & 30 & 0 & 7/14/2018 20:30 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180715\\_154500.wav & SM1302 & S4A04430 & 2018 & 7 & 15 & 15 & 45 & 0 & 7/15/2018 15:45 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180716\\_024500.wav & SM1303 & S4A04430 & 2018 & 7 & 16 &  2 & 45 & 0 & 7/16/2018 2:45  & 0 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A04430\\_20180716\\_113000.wav & SM1304 & S4A04430 & 2018 & 7 & 16 & 11 & 30 & 0 & 7/16/2018 11:30 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180717\\_133000.wav & SM1305 & S4A04430 & 2018 & 7 & 17 & 13 & 30 & 0 & 7/17/2018 13:30 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180718\\_181500.wav & SM1306 & S4A04430 & 2018 & 7 & 18 & 18 & 15 & 0 & 7/18/2018 18:15 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180719\\_013000.wav & SM1307 & S4A04430 & 2018 & 7 & 19 &  1 & 30 & 0 & 7/19/2018 1:30  & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A04430\\_20180720\\_091500.wav & SM1308 & S4A04430 & 2018 & 7 & 20 &  9 & 15 & 0 & 7/20/2018 9:15  & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180720\\_231500.wav & SM1309 & S4A04430 & 2018 & 7 & 20 & 23 & 15 & 0 & 7/20/2018 23:15 & 1 & 1 & 1 & 0 & 0\\\\\n",
       "\t S4A04430\\_20180721\\_204500.wav & SM1310 & S4A04430 & 2018 & 7 & 21 & 20 & 45 & 0 & 7/21/2018 20:45 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180723\\_091500.wav & SM1311 & S4A04430 & 2018 & 7 & 23 &  9 & 15 & 0 & 7/23/2018 9:15  & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180723\\_234500.wav & SM1312 & S4A04430 & 2018 & 7 & 23 & 23 & 45 & 0 & 7/23/2018 23:45 & 1 & 1 & 0 & 0 & 0\\\\\n",
       "\t S4A04430\\_20180724\\_203000.wav & SM1313 & S4A04430 & 2018 & 7 & 24 & 20 & 30 & 0 & 7/24/2018 20:30 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180726\\_191500.wav & SM1314 & S4A04430 & 2018 & 7 & 26 & 19 & 15 & 0 & 7/26/2018 19:15 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180727\\_011500.wav & SM1315 & S4A04430 & 2018 & 7 & 27 &  1 & 15 & 0 & 7/27/2018 1:15  & 1 & 0 & 0 & 0 & 0\\\\\n",
       "\t S4A04430\\_20180730\\_101500.wav & SM1316 & S4A04430 & 2018 & 7 & 30 & 10 & 15 & 0 & 7/30/2018 10:15 & 1 & 1 & 0 & 1 & 0\\\\\n",
       "\t S4A04430\\_20180730\\_214500.wav & SM1317 & S4A04430 & 2018 & 7 & 30 & 21 & 45 & 0 & 7/30/2018 21:45 & 1 & 0 & 0 & 1 & 0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 1314 × 15\n",
       "\n",
       "| filename &lt;chr&gt; | model &lt;chr&gt; | prefix &lt;chr&gt; | year &lt;int&gt; | month &lt;int&gt; | day &lt;int&gt; | hour &lt;int&gt; | min &lt;int&gt; | sec &lt;int&gt; | date &lt;chr&gt; | plane &lt;int&gt; | wind &lt;int&gt; | rain &lt;int&gt; | biophony &lt;int&gt; | silence &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| S4A03536_20180801_123000.wav | SM4  | S4A03536 | 2018 | 8 |  1 | 12 | 30 | 0 | 8/1/2018 12:30  | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A03536_20180805_084500.wav | SM5  | S4A03536 | 2018 | 8 |  5 |  8 | 45 | 0 | 8/5/2018 8:45   | 0 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180805_193000.wav | SM6  | S4A03536 | 2018 | 8 |  5 | 19 | 30 | 0 | 8/5/2018 19:30  | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180807_083000.wav | SM7  | S4A03536 | 2018 | 8 |  7 |  8 | 30 | 0 | 8/7/2018 8:30   | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180808_021500.wav | SM8  | S4A03536 | 2018 | 8 |  8 |  2 | 15 | 0 | 8/8/2018 2:15   | 0 | 0 | 0 | 0 | 1 |\n",
       "| S4A03536_20180808_090000.wav | SM9  | S4A03536 | 2018 | 8 |  8 |  9 |  0 | 0 | 8/8/2018 9:00   | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180810_030000.wav | SM10 | S4A03536 | 2018 | 8 | 10 |  3 |  0 | 0 | 8/10/2018 3:00  | 0 | 0 | 0 | 0 | 1 |\n",
       "| S4A03536_20180811_073000.wav | SM11 | S4A03536 | 2018 | 8 | 11 |  7 | 30 | 0 | 8/11/2018 7:30  | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180811_120000.wav | SM12 | S4A03536 | 2018 | 8 | 11 | 12 |  0 | 0 | 8/11/2018 12:00 | 0 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180811_174500.wav | SM13 | S4A03536 | 2018 | 8 | 11 | 17 | 45 | 0 | 8/11/2018 17:45 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180812_061500.wav | SM14 | S4A03536 | 2018 | 8 | 12 |  6 | 15 | 0 | 8/12/2018 6:15  | 0 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180816_130000.wav | SM15 | S4A03536 | 2018 | 8 | 16 | 13 |  0 | 0 | 8/16/2018 13:00 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180818_031500.wav | SM16 | S4A03536 | 2018 | 8 | 18 |  3 | 15 | 0 | 8/18/2018 3:15  | 0 | 1 | 0 | 0 | 0 |\n",
       "| S4A03536_20180818_234500.wav | SM17 | S4A03536 | 2018 | 8 | 18 | 23 | 45 | 0 | 8/18/2018 23:45 | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A03536_20180819_114500.wav | SM18 | S4A03536 | 2018 | 8 | 19 | 11 | 45 | 0 | 8/19/2018 11:45 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180820_233000.wav | SM19 | S4A03536 | 2018 | 8 | 20 | 23 | 30 | 0 | 8/20/2018 23:30 | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A03536_20180821_090000.wav | SM20 | S4A03536 | 2018 | 8 | 21 |  9 |  0 | 0 | 8/21/2018 9:00  | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180822_144500.wav | SM21 | S4A03536 | 2018 | 8 | 22 | 14 | 45 | 0 | 8/22/2018 14:45 | 1 | 0 | 1 | 1 | 0 |\n",
       "| S4A03536_20180822_224500.wav | SM22 | S4A03536 | 2018 | 8 | 22 | 22 | 45 | 0 | 8/22/2018 22:45 | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A03536_20180823_214500.wav | SM23 | S4A03536 | 2018 | 8 | 23 | 21 | 45 | 0 | 8/23/2018 21:45 | 1 | 0 | 1 | 0 | 0 |\n",
       "| S4A03536_20180824_063000.wav | SM24 | S4A03536 | 2018 | 8 | 24 |  6 | 30 | 0 | 8/24/2018 6:30  | 1 | 0 | 1 | 0 | 0 |\n",
       "| S4A03536_20180827_020000.wav | SM25 | S4A03536 | 2018 | 8 | 27 |  2 |  0 | 0 | 8/27/2018 2:00  | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A03536_20180827_034500.wav | SM26 | S4A03536 | 2018 | 8 | 27 |  3 | 45 | 0 | 8/27/2018 3:45  | 0 | 0 | 0 | 0 | 1 |\n",
       "| S4A03536_20180829_074500.wav | SM27 | S4A03536 | 2018 | 8 | 29 |  7 | 45 | 0 | 8/29/2018 7:45  | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180829_083000.wav | SM28 | S4A03536 | 2018 | 8 | 29 |  8 | 30 | 0 | 8/29/2018 8:30  | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180830_163000.wav | SM29 | S4A03536 | 2018 | 8 | 30 | 16 | 30 | 0 | 8/30/2018 16:30 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180902_113000.wav | SM30 | S4A03536 | 2018 | 9 |  2 | 11 | 30 | 0 | 9/2/2018 11:30  | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A03536_20180902_221500.wav | SM31 | S4A03536 | 2018 | 9 |  2 | 22 | 15 | 0 | 9/2/2018 22:15  | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A03536_20180905_063000.wav | SM32 | S4A03536 | 2018 | 9 |  5 |  6 | 30 | 0 | 9/5/2018 6:30   | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A03536_20180905_151500.wav | SM33 | S4A03536 | 2018 | 9 |  5 | 15 | 15 | 0 | 9/5/2018 15:15  | 1 | 0 | 0 | 1 | 0 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| S4A04430_20190619_163000.wav | SM1288 | S4A04430 | 2019 | 6 | 19 | 16 | 30 | 0 | 6/19/2019 16:30 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20190619_174500.wav | SM1289 | S4A04430 | 2019 | 6 | 19 | 17 | 45 | 0 | 6/19/2019 17:45 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20190620_030000.wav | SM1290 | S4A04430 | 2019 | 6 | 20 |  3 |  0 | 0 | 6/20/2019 3:00  | 1 | 0 | 1 | 0 | 0 |\n",
       "| S4A04430_20190620_193000.wav | SM1291 | S4A04430 | 2019 | 6 | 20 | 19 | 30 | 0 | 6/20/2019 19:30 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A04430_20190623_131500.wav | SM1292 | S4A04430 | 2019 | 6 | 23 | 13 | 15 | 0 | 6/23/2019 13:15 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20190624_234500.wav | SM1293 | S4A04430 | 2019 | 6 | 24 | 23 | 45 | 0 | 6/24/2019 23:45 | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A04430_20190625_124500.wav | SM1294 | S4A04430 | 2019 | 6 | 25 | 12 | 45 | 0 | 6/25/2019 12:45 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20190625_200000.wav | SM1295 | S4A04430 | 2019 | 6 | 25 | 20 |  0 | 0 | 6/25/2019 20:00 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20190626_063000.wav | SM1296 | S4A04430 | 2019 | 6 | 26 |  6 | 30 | 0 | 6/26/2019 6:30  | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A04430_20190626_101500.wav | SM1297 | S4A04430 | 2019 | 6 | 26 | 10 | 15 | 0 | 6/26/2019 10:15 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20190628_161500.wav | SM1298 | S4A04430 | 2019 | 6 | 28 | 16 | 15 | 0 | 6/28/2019 16:15 | 1 | 1 | 0 | 0 | 0 |\n",
       "| S4A04430_20190630_111500.wav | SM1299 | S4A04430 | 2019 | 6 | 30 | 11 | 15 | 0 | 6/30/2019 11:15 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20180714_034500.wav | SM1300 | S4A04430 | 2018 | 7 | 14 |  3 | 45 | 0 | 7/14/2018 3:45  | 0 | 0 | 0 | 0 | 1 |\n",
       "| S4A04430_20180714_203000.wav | SM1301 | S4A04430 | 2018 | 7 | 14 | 20 | 30 | 0 | 7/14/2018 20:30 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A04430_20180715_154500.wav | SM1302 | S4A04430 | 2018 | 7 | 15 | 15 | 45 | 0 | 7/15/2018 15:45 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20180716_024500.wav | SM1303 | S4A04430 | 2018 | 7 | 16 |  2 | 45 | 0 | 7/16/2018 2:45  | 0 | 0 | 0 | 0 | 0 |\n",
       "| S4A04430_20180716_113000.wav | SM1304 | S4A04430 | 2018 | 7 | 16 | 11 | 30 | 0 | 7/16/2018 11:30 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20180717_133000.wav | SM1305 | S4A04430 | 2018 | 7 | 17 | 13 | 30 | 0 | 7/17/2018 13:30 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20180718_181500.wav | SM1306 | S4A04430 | 2018 | 7 | 18 | 18 | 15 | 0 | 7/18/2018 18:15 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A04430_20180719_013000.wav | SM1307 | S4A04430 | 2018 | 7 | 19 |  1 | 30 | 0 | 7/19/2018 1:30  | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A04430_20180720_091500.wav | SM1308 | S4A04430 | 2018 | 7 | 20 |  9 | 15 | 0 | 7/20/2018 9:15  | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A04430_20180720_231500.wav | SM1309 | S4A04430 | 2018 | 7 | 20 | 23 | 15 | 0 | 7/20/2018 23:15 | 1 | 1 | 1 | 0 | 0 |\n",
       "| S4A04430_20180721_204500.wav | SM1310 | S4A04430 | 2018 | 7 | 21 | 20 | 45 | 0 | 7/21/2018 20:45 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A04430_20180723_091500.wav | SM1311 | S4A04430 | 2018 | 7 | 23 |  9 | 15 | 0 | 7/23/2018 9:15  | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20180723_234500.wav | SM1312 | S4A04430 | 2018 | 7 | 23 | 23 | 45 | 0 | 7/23/2018 23:45 | 1 | 1 | 0 | 0 | 0 |\n",
       "| S4A04430_20180724_203000.wav | SM1313 | S4A04430 | 2018 | 7 | 24 | 20 | 30 | 0 | 7/24/2018 20:30 | 1 | 0 | 0 | 1 | 0 |\n",
       "| S4A04430_20180726_191500.wav | SM1314 | S4A04430 | 2018 | 7 | 26 | 19 | 15 | 0 | 7/26/2018 19:15 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20180727_011500.wav | SM1315 | S4A04430 | 2018 | 7 | 27 |  1 | 15 | 0 | 7/27/2018 1:15  | 1 | 0 | 0 | 0 | 0 |\n",
       "| S4A04430_20180730_101500.wav | SM1316 | S4A04430 | 2018 | 7 | 30 | 10 | 15 | 0 | 7/30/2018 10:15 | 1 | 1 | 0 | 1 | 0 |\n",
       "| S4A04430_20180730_214500.wav | SM1317 | S4A04430 | 2018 | 7 | 30 | 21 | 45 | 0 | 7/30/2018 21:45 | 1 | 0 | 0 | 1 | 0 |\n",
       "\n"
      ],
      "text/plain": [
       "     filename                     model  prefix   year month day hour min sec\n",
       "1    S4A03536_20180801_123000.wav SM4    S4A03536 2018 8      1  12   30  0  \n",
       "2    S4A03536_20180805_084500.wav SM5    S4A03536 2018 8      5   8   45  0  \n",
       "3    S4A03536_20180805_193000.wav SM6    S4A03536 2018 8      5  19   30  0  \n",
       "4    S4A03536_20180807_083000.wav SM7    S4A03536 2018 8      7   8   30  0  \n",
       "5    S4A03536_20180808_021500.wav SM8    S4A03536 2018 8      8   2   15  0  \n",
       "6    S4A03536_20180808_090000.wav SM9    S4A03536 2018 8      8   9    0  0  \n",
       "7    S4A03536_20180810_030000.wav SM10   S4A03536 2018 8     10   3    0  0  \n",
       "8    S4A03536_20180811_073000.wav SM11   S4A03536 2018 8     11   7   30  0  \n",
       "9    S4A03536_20180811_120000.wav SM12   S4A03536 2018 8     11  12    0  0  \n",
       "10   S4A03536_20180811_174500.wav SM13   S4A03536 2018 8     11  17   45  0  \n",
       "11   S4A03536_20180812_061500.wav SM14   S4A03536 2018 8     12   6   15  0  \n",
       "12   S4A03536_20180816_130000.wav SM15   S4A03536 2018 8     16  13    0  0  \n",
       "13   S4A03536_20180818_031500.wav SM16   S4A03536 2018 8     18   3   15  0  \n",
       "14   S4A03536_20180818_234500.wav SM17   S4A03536 2018 8     18  23   45  0  \n",
       "15   S4A03536_20180819_114500.wav SM18   S4A03536 2018 8     19  11   45  0  \n",
       "16   S4A03536_20180820_233000.wav SM19   S4A03536 2018 8     20  23   30  0  \n",
       "17   S4A03536_20180821_090000.wav SM20   S4A03536 2018 8     21   9    0  0  \n",
       "18   S4A03536_20180822_144500.wav SM21   S4A03536 2018 8     22  14   45  0  \n",
       "19   S4A03536_20180822_224500.wav SM22   S4A03536 2018 8     22  22   45  0  \n",
       "20   S4A03536_20180823_214500.wav SM23   S4A03536 2018 8     23  21   45  0  \n",
       "21   S4A03536_20180824_063000.wav SM24   S4A03536 2018 8     24   6   30  0  \n",
       "22   S4A03536_20180827_020000.wav SM25   S4A03536 2018 8     27   2    0  0  \n",
       "23   S4A03536_20180827_034500.wav SM26   S4A03536 2018 8     27   3   45  0  \n",
       "24   S4A03536_20180829_074500.wav SM27   S4A03536 2018 8     29   7   45  0  \n",
       "25   S4A03536_20180829_083000.wav SM28   S4A03536 2018 8     29   8   30  0  \n",
       "26   S4A03536_20180830_163000.wav SM29   S4A03536 2018 8     30  16   30  0  \n",
       "27   S4A03536_20180902_113000.wav SM30   S4A03536 2018 9      2  11   30  0  \n",
       "28   S4A03536_20180902_221500.wav SM31   S4A03536 2018 9      2  22   15  0  \n",
       "29   S4A03536_20180905_063000.wav SM32   S4A03536 2018 9      5   6   30  0  \n",
       "30   S4A03536_20180905_151500.wav SM33   S4A03536 2018 9      5  15   15  0  \n",
       "⋮    ⋮                            ⋮      ⋮        ⋮    ⋮     ⋮   ⋮    ⋮   ⋮  \n",
       "1285 S4A04430_20190619_163000.wav SM1288 S4A04430 2019 6     19  16   30  0  \n",
       "1286 S4A04430_20190619_174500.wav SM1289 S4A04430 2019 6     19  17   45  0  \n",
       "1287 S4A04430_20190620_030000.wav SM1290 S4A04430 2019 6     20   3    0  0  \n",
       "1288 S4A04430_20190620_193000.wav SM1291 S4A04430 2019 6     20  19   30  0  \n",
       "1289 S4A04430_20190623_131500.wav SM1292 S4A04430 2019 6     23  13   15  0  \n",
       "1290 S4A04430_20190624_234500.wav SM1293 S4A04430 2019 6     24  23   45  0  \n",
       "1291 S4A04430_20190625_124500.wav SM1294 S4A04430 2019 6     25  12   45  0  \n",
       "1292 S4A04430_20190625_200000.wav SM1295 S4A04430 2019 6     25  20    0  0  \n",
       "1293 S4A04430_20190626_063000.wav SM1296 S4A04430 2019 6     26   6   30  0  \n",
       "1294 S4A04430_20190626_101500.wav SM1297 S4A04430 2019 6     26  10   15  0  \n",
       "1295 S4A04430_20190628_161500.wav SM1298 S4A04430 2019 6     28  16   15  0  \n",
       "1296 S4A04430_20190630_111500.wav SM1299 S4A04430 2019 6     30  11   15  0  \n",
       "1297 S4A04430_20180714_034500.wav SM1300 S4A04430 2018 7     14   3   45  0  \n",
       "1298 S4A04430_20180714_203000.wav SM1301 S4A04430 2018 7     14  20   30  0  \n",
       "1299 S4A04430_20180715_154500.wav SM1302 S4A04430 2018 7     15  15   45  0  \n",
       "1300 S4A04430_20180716_024500.wav SM1303 S4A04430 2018 7     16   2   45  0  \n",
       "1301 S4A04430_20180716_113000.wav SM1304 S4A04430 2018 7     16  11   30  0  \n",
       "1302 S4A04430_20180717_133000.wav SM1305 S4A04430 2018 7     17  13   30  0  \n",
       "1303 S4A04430_20180718_181500.wav SM1306 S4A04430 2018 7     18  18   15  0  \n",
       "1304 S4A04430_20180719_013000.wav SM1307 S4A04430 2018 7     19   1   30  0  \n",
       "1305 S4A04430_20180720_091500.wav SM1308 S4A04430 2018 7     20   9   15  0  \n",
       "1306 S4A04430_20180720_231500.wav SM1309 S4A04430 2018 7     20  23   15  0  \n",
       "1307 S4A04430_20180721_204500.wav SM1310 S4A04430 2018 7     21  20   45  0  \n",
       "1308 S4A04430_20180723_091500.wav SM1311 S4A04430 2018 7     23   9   15  0  \n",
       "1309 S4A04430_20180723_234500.wav SM1312 S4A04430 2018 7     23  23   45  0  \n",
       "1310 S4A04430_20180724_203000.wav SM1313 S4A04430 2018 7     24  20   30  0  \n",
       "1311 S4A04430_20180726_191500.wav SM1314 S4A04430 2018 7     26  19   15  0  \n",
       "1312 S4A04430_20180727_011500.wav SM1315 S4A04430 2018 7     27   1   15  0  \n",
       "1313 S4A04430_20180730_101500.wav SM1316 S4A04430 2018 7     30  10   15  0  \n",
       "1314 S4A04430_20180730_214500.wav SM1317 S4A04430 2018 7     30  21   45  0  \n",
       "     date            plane wind rain biophony silence\n",
       "1    8/1/2018 12:30  1     0    0    0        0      \n",
       "2    8/5/2018 8:45   0     0    0    1        0      \n",
       "3    8/5/2018 19:30  1     0    0    1        0      \n",
       "4    8/7/2018 8:30   1     0    0    1        0      \n",
       "5    8/8/2018 2:15   0     0    0    0        1      \n",
       "6    8/8/2018 9:00   1     0    0    1        0      \n",
       "7    8/10/2018 3:00  0     0    0    0        1      \n",
       "8    8/11/2018 7:30  1     0    0    1        0      \n",
       "9    8/11/2018 12:00 0     0    0    1        0      \n",
       "10   8/11/2018 17:45 1     0    0    1        0      \n",
       "11   8/12/2018 6:15  0     0    0    1        0      \n",
       "12   8/16/2018 13:00 1     0    0    1        0      \n",
       "13   8/18/2018 3:15  0     1    0    0        0      \n",
       "14   8/18/2018 23:45 1     0    0    0        0      \n",
       "15   8/19/2018 11:45 1     0    0    1        0      \n",
       "16   8/20/2018 23:30 1     0    0    0        0      \n",
       "17   8/21/2018 9:00  1     0    0    1        0      \n",
       "18   8/22/2018 14:45 1     0    1    1        0      \n",
       "19   8/22/2018 22:45 1     0    0    0        0      \n",
       "20   8/23/2018 21:45 1     0    1    0        0      \n",
       "21   8/24/2018 6:30  1     0    1    0        0      \n",
       "22   8/27/2018 2:00  1     0    0    0        0      \n",
       "23   8/27/2018 3:45  0     0    0    0        1      \n",
       "24   8/29/2018 7:45  1     0    0    1        0      \n",
       "25   8/29/2018 8:30  1     0    0    1        0      \n",
       "26   8/30/2018 16:30 1     0    0    1        0      \n",
       "27   9/2/2018 11:30  1     1    0    1        0      \n",
       "28   9/2/2018 22:15  1     0    0    0        0      \n",
       "29   9/5/2018 6:30   1     0    0    1        0      \n",
       "30   9/5/2018 15:15  1     0    0    1        0      \n",
       "⋮    ⋮               ⋮     ⋮    ⋮    ⋮        ⋮      \n",
       "1285 6/19/2019 16:30 1     1    0    1        0      \n",
       "1286 6/19/2019 17:45 1     1    0    1        0      \n",
       "1287 6/20/2019 3:00  1     0    1    0        0      \n",
       "1288 6/20/2019 19:30 1     0    0    1        0      \n",
       "1289 6/23/2019 13:15 1     1    0    1        0      \n",
       "1290 6/24/2019 23:45 1     0    0    0        0      \n",
       "1291 6/25/2019 12:45 1     1    0    1        0      \n",
       "1292 6/25/2019 20:00 1     1    0    1        0      \n",
       "1293 6/26/2019 6:30  1     0    0    1        0      \n",
       "1294 6/26/2019 10:15 1     1    0    1        0      \n",
       "1295 6/28/2019 16:15 1     1    0    0        0      \n",
       "1296 6/30/2019 11:15 1     1    0    1        0      \n",
       "1297 7/14/2018 3:45  0     0    0    0        1      \n",
       "1298 7/14/2018 20:30 1     0    0    1        0      \n",
       "1299 7/15/2018 15:45 1     1    0    1        0      \n",
       "1300 7/16/2018 2:45  0     0    0    0        0      \n",
       "1301 7/16/2018 11:30 1     1    0    1        0      \n",
       "1302 7/17/2018 13:30 1     1    0    1        0      \n",
       "1303 7/18/2018 18:15 1     0    0    1        0      \n",
       "1304 7/19/2018 1:30  1     0    0    0        0      \n",
       "1305 7/20/2018 9:15  1     0    0    1        0      \n",
       "1306 7/20/2018 23:15 1     1    1    0        0      \n",
       "1307 7/21/2018 20:45 1     0    0    1        0      \n",
       "1308 7/23/2018 9:15  1     1    0    1        0      \n",
       "1309 7/23/2018 23:45 1     1    0    0        0      \n",
       "1310 7/24/2018 20:30 1     0    0    1        0      \n",
       "1311 7/26/2018 19:15 1     1    0    1        0      \n",
       "1312 7/27/2018 1:15  1     0    0    0        0      \n",
       "1313 7/30/2018 10:15 1     1    0    1        0      \n",
       "1314 7/30/2018 21:45 1     0    0    1        0      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "################################\n",
    "# Load annotations\n",
    "################################\n",
    "\n",
    "info <- read.table(paste(DATA_PATH,\"annotations.csv\",sep='/'),\n",
    "                sep = \",\",\n",
    "                header = TRUE)\n",
    "n <- nrow(info)\n",
    "\n",
    "info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##############################\n",
    "# MFCC\n",
    "##############################\n",
    "\n",
    "if (COMPUTE_MFFC == FALSE) {\n",
    "  ## if the MFFC is already computed\n",
    "  mel <- readRDS(\"mfcc.rds\")\n",
    "} else {\n",
    "  wl <- 512   # fft length\n",
    "  ncep <- 26  # number of MFCC\n",
    "  mel <- matrix(rep(NA, wl / 2), nrow = n, ncol = ncep)\n",
    "\n",
    "  for(i in 1:n){\n",
    "\n",
    "    # extract the full path to the audio file\n",
    "    filename <- paste(DATA_PATH, info$filename[i], sep = \"/\")\n",
    "    # read the audio file\n",
    "    s <- readWave(filename)\n",
    "    # get the sampling rate\n",
    "    sr <- s@samp.rate\n",
    "    # delete the DC offset\n",
    "    s <- rmoffset(s, output = \"Wave\")\n",
    "\n",
    "    # Compute \"ncep\" MFFC\n",
    "    mfcc <- melfcc(s,\n",
    "                  sr = sr,\n",
    "                  wintime = wl / sr,\n",
    "                  hoptime = wl / sr,\n",
    "                  numcep = ncep,\n",
    "                  nbands = ncep * 2,\n",
    "                  fbtype = \"htkmel\",\n",
    "                  dcttype = \"t3\",\n",
    "                  htklifter = TRUE,\n",
    "                  lifterexp = ncep - 1,\n",
    "                  frames_in_rows = TRUE,\n",
    "                  spec_out = FALSE)\n",
    "\n",
    "    # compute the mean over the whole signal\n",
    "    mel[i, ] <- apply(mfcc, MARGIN = 2, FUN = mean)\n",
    "\n",
    "    # release the memory\n",
    "    rm(s)\n",
    "    # print message\n",
    "    print(paste(filename, \" computing MFFC ---> Done\"))\n",
    "  }\n",
    "\n",
    "  # Save the variable\n",
    "  saveRDS(mel, file=\"mfcc.rds\")\n",
    "\n",
    "}\n",
    "\n",
    "# plot all MFCC on a single plot\n",
    "matplot(t(mel), type = \"l\", col = info$plane + 1, lty = 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "##############################\n",
    "# TRAIN THE ANN MODEL\n",
    "##############################\n",
    "\n",
    "# set the seed for reproducibility\n",
    "set.seed(1234)\n",
    "\n",
    "# set the confidence threshold to decide\n",
    "# if the label is 0 or 1 for each label\n",
    "confidence_threshold <- 0.5\n",
    "\n",
    "# Target data\n",
    "target <- cbind(info$plane, info$wind, info$rain, info$biophony, info$silence)\n",
    "colnames(target) <- c(\"plane\", \"wind\", \"rain\", \"biophony\", \"silence\")\n",
    "\n",
    "# Input data\n",
    "input <- mel\n",
    "colnames(input) <- seq_len(ncol(input))\n",
    "\n",
    "# Scaling of the input data\n",
    "input <- scale(input)\n",
    "\n",
    "# combine target and input to create the dataset\n",
    "dataset <- data.frame(target, input)\n",
    "dataset <- na.omit(dataset) ## remove NA\n",
    "\n",
    "# split the dataset into training dataset (80%) and test dataset (20%)\n",
    "index <- sample(seq_len(nrow(dataset)), round(0.80 * nrow(dataset)))\n",
    "training <- dataset[index, ]\n",
    "test <- dataset[-index, ]\n",
    "\n",
    "# ANN on mfcc\n",
    "ann <- neuralnet(plane+wind+rain+biophony+silence~X1+X2+X3+X4+X5+X6+X7+X8+X9+X10+X11+X12+X13+X12+X13+X14+X15+X16+X17+X18+X19+X20+X21+X22+X23+X24+X25+X26,\n",
    "                data = training,\n",
    "                hidden = c(5),\n",
    "                linear.output = FALSE,\n",
    "                act.fct = \"logistic\",\n",
    "                threshold = 0.1 # default is 0.01\n",
    ")\n",
    "\n",
    "## predict on validation\n",
    "pred <- predict(ann, test)\n",
    "\n",
    "# convert the result into dataframe\n",
    "pred <- data.frame(pred)\n",
    "colnames(pred) <- colnames(target)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n",
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n",
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “ROC Curve for plane”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “ROC Curve for wind”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “ROC Curve for rain”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “ROC Curve for biophony”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Plot with title “ROC Curve for silence”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##############################\n",
    "# DISPLAY THE ROC CURVES\n",
    "##############################\n",
    "\n",
    "# ouput initialization\n",
    "roc_curves <- list()\n",
    "\n",
    "for (class_name in colnames(target)) {\n",
    "\n",
    "  # Extract predicted probabilities for the current class\n",
    "  predicted_probs <- pred[[class_name]]\n",
    "\n",
    "  # True labels for the current class\n",
    "  true_labels <- test[[class_name]]\n",
    "\n",
    "  # Compute ROC curve\n",
    "  roc_curves[[class_name]] <- roc(true_labels, predicted_probs)\n",
    "\n",
    "  # Plot ROC curve for each class for the last training dataset\n",
    "  plot(roc_curves[[class_name]],\n",
    "      main = paste(\"ROC Curve for\", class_name),\n",
    "      col = \"blue\",\n",
    "      legacy.axes = TRUE)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"SCORES for plane AUC 0.943752594437526 accuracy 91.254752851711 recall 75 precision 73.3333333333333 TPR 75 FPR 27.2727272727273\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"SCORES for wind AUC 0.90427314620863 accuracy 84.4106463878327 recall 88.1720430107527 precision 89.6174863387978 TPR 88.1720430107527 FPR 10.2150537634409\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"SCORES for rain AUC 0.811695906432749 accuracy 89.7338403041825 recall 93.3333333333333 precision 94.5945945945946 TPR 93.3333333333333 FPR 5.33333333333333\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"SCORES for biophony AUC 0.82746806039489 accuracy 76.8060836501901 recall 89.2857142857143 precision 73.0994152046784 TPR 89.2857142857143 FPR 32.8571428571429\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting levels: control = 0, case = 1\n",
      "\n",
      "Setting direction: controls < cases\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"SCORES for silence AUC 0.944444444444444 accuracy 94.6768060836502 recall 96.734693877551 precision 97.5308641975309 TPR 96.734693877551 FPR 2.44897959183673\"\n"
     ]
    }
   ],
   "source": [
    "##############################\n",
    "# DISPLAY THE SCORES\n",
    "##############################\n",
    "\n",
    "# ouput initialization\n",
    "auc_values <- matrix(NA, nrow = 1, ncol = ncol(target))\n",
    "accuracy <- matrix(NA, nrow = 1, ncol = ncol(target))\n",
    "recall  <- matrix(NA, nrow = 1, ncol =  ncol(target))\n",
    "precision <- matrix(NA, nrow = 1, ncol = ncol(target))\n",
    "fpr <- matrix(NA, nrow = 1, ncol = ncol(target))\n",
    "tpr <- matrix(NA, nrow = 1, ncol = ncol(target))\n",
    "\n",
    "colnames(auc_values) <- colnames(target)\n",
    "colnames(accuracy) <- colnames(target)\n",
    "colnames(recall) <- colnames(target)\n",
    "colnames(precision) <- colnames(target)\n",
    "colnames(fpr) <- colnames(target)\n",
    "colnames(tpr) <- colnames(target)\n",
    "\n",
    "for (class_name in colnames(target)) {\n",
    "\n",
    "  # Extract predicted probabilities for the current class\n",
    "  predicted_probs <- pred[[class_name]]\n",
    "\n",
    "  # True labels for the current class\n",
    "  true_labels <- test[[class_name]]\n",
    "  \n",
    "  # Compute the AUC\n",
    "  auc_values[[class_name]] <- auc(roc(true_labels, predicted_probs))\n",
    "\n",
    "  # confusion matrix\n",
    "  pred[[class_name]][pred[[class_name]] > confidence_threshold]  <- 1\n",
    "  pred[[class_name]][pred[[class_name]] <= confidence_threshold] <- 0\n",
    "\n",
    "  tab <- table(test[[class_name]], pred[[class_name]])\n",
    "\n",
    "  tp <- tab[1, 1]\n",
    "  fp <- tab[2, 1]\n",
    "  tn <- tab[2, 2]\n",
    "  fn <- tab[1, 2]\n",
    "\n",
    "  # accuracy, recall and precision for each class\n",
    "  accuracy[[class_name]]  <- 100 * (tp + tn) / (tp + tn + fp + fn)\n",
    "  recall[[class_name]]    <- 100 * tp / (tp + fn)\n",
    "  precision[[class_name]] <- 100 * tp / (tp + fp)\n",
    "  tpr[[class_name]]       <- recall[[class_name]]\n",
    "  fpr[[class_name]]       <- 100 * fp / (tp + fn)\n",
    "\n",
    "  # print scores\n",
    "  print(paste(\"SCORES for\",   class_name,\n",
    "              \"AUC\",          auc_values[[class_name]],\n",
    "              \"accuracy\",     accuracy[[class_name]],\n",
    "              \"recall\",       recall[[class_name]],\n",
    "              \"precision\",    precision[[class_name]],\n",
    "              \"TPR\",          tpr[[class_name]],\n",
    "              \"FPR\",          fpr[[class_name]]))\n",
    "}"
   ]
  }
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