01-Prepare_Data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><h1 style=\"font-size:3em\"> Data format for Speaker Identification </h1></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.io import wavfile\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import librosa  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List of the different scenes for all episodes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes_1_7 = [0, 47,108,459,488,504,539,620,654,671,766,820,825,834,869,879,895,999,\n",
    "                  1074,1097,1118,1192,1230,1339,1394,1473,1487,1500,1529,1568,1649,1685,\n",
    "                  1692,1700,1750,1768,1793,1817,1851,1952,1978,2002,2035,2079,2120,2235,\n",
    "                  2284,2298,2455,2487]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes_1_8 = [0,56,157,179,204,235,291,373,441,503,536,559,617,668,734,806,878,923,\n",
    "                  995,1143,1178,1222,1329,1375,1416,1452,1641,1694,1731,1765,1789,1822,\n",
    "                  1944,2021,2063,2121,2167,2218,2315,2325,2343,2420,2496,2529]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes_1_19 = [0,85, 2*60+5, 2*60+35, 3*60+7, 4*60+6, 5*60+8, 5*60+42,\n",
    "    5*60+55, 6*60+14, 8*60+1, 8*60+54, 10*60+15, 10*60+59, \n",
    "    11*60+53,12*60+57, 13*60+11, 13*60+34, 14*60+2, 15*60+2,\n",
    "    15*60+18, 15*60+33, 15*60+56, 16*60+17, 16*60+20, 16*60+57, \n",
    "    17*60+42, 18*60+3, 19*60+34, 21*60+14, 21*60+58, 22*60+51,\n",
    "    24*60+15, 24*60+24, 25*60+30, 25*60+34, 25*60+39, 25*60+44, \n",
    "    25*60+47, 26*22+22, 26*60+34, 27*60+39, 28*60+24, 28*60+48,\n",
    "    28*60+58, 31*60+18, 31*60+35, 31*60+37, 32*60+40, 33*60+55, \n",
    "    34*60+4, 38*60+17, 38*60+46, 41*60+15, 42*60+26, 42*60+44, 50*60\n",
    "     ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes_1_20 = [0, 29, 52, 57, 60+6, 60+51, 2*60+21, 2*60+21, \n",
    "    3*60+57, 4*60+10, 5*60+31, 5*60+56, 6*60+24, 8*60+6, 9*60,\n",
    "    9*60+27, 9*60+35, 9*60+42, 10*60+23, 12*60+4, 12*60+32, \n",
    "    13*60+43, 14*60+21, 14*60+45, 14*60+58, 15*60+35, 17*60+17,\n",
    "    18*60+39, 19*60+48, 20*60+6, 20*60+10, 20*60+17, 20*60+37, \n",
    "    20*60+45, 21*60+18, 22*60+5, 22*60+36, 23*60, 23*60+15, 23*60+26, \n",
    "    24*60+2, 24*60+34, 25*60+3, 26*60+26, 26*60+30, 29*60+45, 29*60+54,\n",
    "    30*60+11, 30*60+21, 30*60+41, 30*60+58, 31*60+40, 32*60+34, 32*60+57,\n",
    "    33*60+29, 34*60+17, 34*60+54, 35*60+58, 36*60+16, 36*60+55, \n",
    "    37*60+10, 37*60+51, 39*60+41, 40*60+22, 40*60+41, 40*60+51, 41*60+7,\n",
    "    41*60+37, 42*60+40, 50*60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes_2_1 = [0,91, 2*60+28, 3*60+31, 4*60+1, 4*60+18, \n",
    "    5*60+22, 5*60+58, 6*60+41, 7*60+21, 7*60+53, 9*60+27,\n",
    "    9*60+47, 10*60+11, 10*60+55, 11*60+18, 12*60+1, 12*60+11, \n",
    "    14*60+21, 15*60+48, 16*60, 16*60+12, 16*60+58, 17*60+24, \n",
    "    18*60+16, 18*60+53, 19*60+47, 19*60+52, 20*60+52, 22*60+40,\n",
    "    23*60+39, 23*60+45, 24*60+52, 26*60+20, 27*60+29, 28*60+32, \n",
    "    28*60+54, 29*60+4, 29*60+12.3, 29*60+43, 30*60+21, 31*60+6.5,\n",
    "    31*60+26, 31*60+35, 32*60+42, 34*60+2, 35*60+7.5, 36*60+20,\n",
    "    36*60+50, 37*60+44, 37*60+53, 38*60+53, 40*60+4, 40*60+21, \n",
    "    40*60+37, 41*60+42, 50*60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes_2_4 = [0, 44, 88, 60+58, 2*60+33, 2*60+42, 3*60+14,\n",
    "    3*60+34, 5*60+22, 6*60+2, 6*60+41, 7*60+36, 7*60+56, 8*60+59,\n",
    "    9*60+36, 9*60+44, 10*60+46, 11*60+6, 11*60+38, 13*60,  13*60+19,\n",
    "    14*60+13, 14*60+49, 16*60+6, 17*60+19, 17*60+33, 17*60+39,\n",
    "    18*60+25, 18*60+43, 19*60+6.5, 19*60+18, 19*60+26, 20*60+9,\n",
    "    20*60+56, 21*60+56.6, 22*60+13.5, 23*60+1, 23*60+54, 24*60+16,\n",
    "    25*60+28, 26*60+42, 27*60+9, 27*60+18, 28*60+44, 29*60+4,\n",
    "    29*60+24, 29*60+31, 30*60+2, 30*60+32, 30*60+48, 31*60+54, \n",
    "    32*60+15, 33*60+30, 33*60+32, 34*60+29, 35*60+35, 35*60+50,\n",
    "    35*60+57, 36*60+24, 38*60+44, 39*60+44, 50*60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes_1_23 = [0, 55, 60+51.5, 2*60+12, 2*60+41, 3*60+19, \n",
    "    4*60+7, 4*60+33, 5*60+26, 6*60+10, 6*60+15.5, 7*60+15, \n",
    "    7*60+57, 8*60+25, 8*60+44, 9*60+25, 9*60+47, 12*60+22, \n",
    "    14*60+22, 14*60+59, 15*50+51, 16*60+5, 16*60+50, 17*60+43,\n",
    "    18*60+30, 18*60+57, 19*60+4.5, 19*60+6.5, 19*60+45.5, 19*60+50,\n",
    "    20*60+34, 21*60+48, 22*60+20, 24*60+22, 25*60+4, 25*60+18.5, \n",
    "    26*60+7, 26*60+28.5, 26*60+36.5, 27*60+20, 27*60+49, \n",
    "    30*60+17, 30*60+47, 31*60+16, 32*60+50, 34*60, 34*60+30, 35*60,\n",
    "    35*60+14, 40*60+25, 40*60+54, 40*60+59, 41*60+45, 42*60+10, \n",
    "    42*60+32, 42*60+49, 43*60+21]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_scenes = {'s01e07': list_scenes_1_7, \n",
    "               's01e08': list_scenes_1_8,\n",
    "               's01e19': list_scenes_1_19,\n",
    "               's01e20': list_scenes_1_20,\n",
    "               's01e23': list_scenes_1_23,\n",
    "               's02e01': list_scenes_2_1,\n",
    "               's02e04': list_scenes_2_4,\n",
    "              }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# All in 1:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def processing(ep):\n",
    "    \n",
    "    list_scenes_ep = list_scenes[ep]\n",
    "    \n",
    "    def timestamp_to_float(timest):\n",
    "        return datetime.timestamp(timest) - datetime.timestamp(datetime.strptime('1900-01-01 00:00:00.000000', '%Y-%m-%d %H:%M:%S.%f'))\n",
    "\n",
    "    def fill_col(x):\n",
    "        if len(x) == len(\"00:02:32\"):\n",
    "            return str(x) + \".000000\"\n",
    "        else:\n",
    "            return x\n",
    "    \n",
    "    fs, data = wavfile.read('src/data/wav_episodes/%s.wav'%ep)\n",
    "    \n",
    "    df = pd.read_csv(\"src/data/tsv/%s.tsv\"%ep, sep=\"\\t\")\n",
    "    df = df[df['speaker'] != \"None\"]\n",
    "    first = df['speaker'].values[0]\n",
    "    \n",
    "    df['end_time'] = pd.to_datetime(df['end_time'].apply(lambda x: fill_col(x)), format='%H:%M:%S.%f')\n",
    "    df['start_time'] = pd.to_datetime(df['start_time'].apply(lambda x: fill_col(x)), format='%H:%M:%S.%f')\n",
    "    df['start_time_float'] = df['start_time'].apply(lambda x: timestamp_to_float(x))\n",
    "    df['end_time_float'] = df['end_time'].apply(lambda x: timestamp_to_float(x))\n",
    "    \n",
    "    def split_scenes(start, end):\n",
    "    \n",
    "        for s in range(len(list_scenes_ep)):\n",
    "            if start >= list_scenes_ep[s] and end <= list_scenes_ep[s+1]:\n",
    "                return int(s)\n",
    "                break\n",
    "\n",
    "    df['conv'] = df.apply(lambda x: split_scenes(x['start_time_float'], x['end_time_float']), axis=1)\n",
    "\n",
    "    df['utt_id'] = df['speaker'] != df['speaker'].shift(1)\n",
    "    df['utt_id'] = df['utt_id'].cumsum()\n",
    "\n",
    "    df.to_csv(\"src/graph_input/all_events_%s.csv\"%ep, index=False)\n",
    "\n",
    "    utt_df = []\n",
    "\n",
    "    for spk in np.unique(df['utt_id']):\n",
    "        utt_df.append([np.unique(df[df['utt_id'] == spk]['speaker'])[0], spk, min(df[df['utt_id'] == spk]['start_time_float']), max(df[df['utt_id'] == spk]['end_time_float'])])\n",
    "\n",
    "    utt_df = pd.DataFrame(utt_df, columns=['Speaker', 'UtteranceID', 'Start', 'Stop'])\n",
    "    utt_df['utt_length'] = utt_df['Stop'] - utt_df['Start']\n",
    "    \n",
    "    def split_wav(name, start, end, rate, x):\n",
    "\n",
    "        for s in range(len(list_scenes_ep)):\n",
    "            if start >= list_scenes_ep[s] and end <= list_scenes_ep[s+1]:\n",
    "                wavfile.write('src/data/clean_out/' + ep + \"/\" + name.replace(\"/\",\"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\") + \"_\" + \"Conv\" + str(s) + \"_\" + str(start) + \"_\" + str(end) + '.wav', rate, x[int(float(start)*rate):int(float(rate)*end)])\n",
    "                break\n",
    "\n",
    "    df.apply(lambda x: split_wav(x['speaker'], x['start_time_float'], x['end_time_float'], fs, data), axis=1)\n",
    "    \n",
    "    df_clean = df[['speaker', 'start_time_float', 'end_time_float', 'conv']].drop_duplicates()\n",
    "    \n",
    "    def split_per_speaker(name, rate, x):\n",
    "\n",
    "        sub_df = df_clean[df_clean['speaker'] == name]\n",
    "        data_utt = []\n",
    "\n",
    "        for line in sub_df.iterrows():\n",
    "\n",
    "            if line[1]['speaker'] == name:\n",
    "\n",
    "                data1 = x[int(float(line[1]['start_time_float'])*rate) : int(float(line[1]['end_time_float'])*rate)]\n",
    "                if len(data_utt) == 0:\n",
    "                    data_utt = data1\n",
    "                else:\n",
    "                    data_utt = np.concatenate((data_utt, data1))\n",
    "\n",
    "        wavfile.write('src/data/all_concatenated/%s/'%ep + name.replace(\"/\",\"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\") + '.wav', rate, data_utt)\n",
    "    \n",
    "        return int(len(data_utt)/rate)\n",
    "\n",
    "    len_audio = []\n",
    "\n",
    "    for speaker in np.unique(df_clean['speaker']):\n",
    "        len_audio.append([speaker, split_per_speaker(speaker, fs, data)])\n",
    "        \n",
    "    len_audio = np.array(len_audio)\n",
    "    \n",
    "    speaker_times = pd.DataFrame(len_audio)\n",
    "    speaker_times.columns = ['Speaker', 'Time']\n",
    "    speaker_times['Time'] = speaker_times['Time'].astype(int)\n",
    "    speaker_times = speaker_times.sort_values(by=\"Time\")\n",
    "    \n",
    "    plt.figure(figsize=(12,8))\n",
    "    plt.barh(speaker_times['Speaker'], speaker_times['Time'])\n",
    "    plt.axvline(20, c='r')\n",
    "    plt.show()\n",
    "\n",
    "    speakers_to_keep = speaker_times[speaker_times['Time'] > 20]\n",
    "    f = open(\"src/speaker_id_input/%s.txt\"%ep, \"w\")\n",
    "    for spk in np.unique(speakers_to_keep['Speaker']):\n",
    "        f.write(spk + \"\\n\")\n",
    "    f.close()\n",
    "\n",
    "    name_vs_utt = []\n",
    "\n",
    "    for name in speakers_to_keep['Speaker']:\n",
    "\n",
    "        sub_df = df_clean[df_clean['speaker'] == name]\n",
    "        data_utt = []\n",
    "\n",
    "        for line in sub_df.iterrows():\n",
    "\n",
    "            if line[1]['speaker'] == name:\n",
    "\n",
    "                data1 = data[int(float(line[1]['start_time_float'])*fs) : int(float(line[1]['end_time_float'])*fs)]\n",
    "                if len(data_utt) == 0:\n",
    "                    data_utt = data1\n",
    "                else:\n",
    "                    data_utt = np.concatenate((data_utt, data1))\n",
    "\n",
    "        # If we have more than 50 seconds we can afford to split\n",
    "        if len(data_utt) > 50 * fs:\n",
    "            wavfile.write('src/speaker_id_input/enroll_files/%s/'%ep + name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\")  + '.wav', fs, data_utt[:40*fs])\n",
    "            name_vs_utt.append([name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\"), name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\") + '.wav'])\n",
    "        else:\n",
    "            wavfile.write('src/speaker_id_input/enroll_files/%s/'%ep + name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\")  + '.wav', fs, data_utt)\n",
    "            name_vs_utt.append([name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\"), name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\") + '.wav'])\n",
    "    \n",
    "    df2 = pd.DataFrame(name_vs_utt)\n",
    "    df2.columns = ['Name', 'File']\n",
    "    df2['channel'] = 'a'\n",
    "    df2.to_csv('src/speaker_id_input/train_file_%s.tsv'%ep, sep=\"\\t\", index=False)\n",
    "    \n",
    "    spk_vs_file = []\n",
    "    build_graph = []\n",
    "    \n",
    "    for conv in np.unique(df_clean['conv']):\n",
    "\n",
    "        sub_df = df_clean[df_clean['conv'] == conv] \n",
    "        sub_df = sub_df[['speaker', 'start_time_float', 'end_time_float']].drop_duplicates()\n",
    "\n",
    "        for name in np.unique(sub_df['speaker']):\n",
    "\n",
    "            if name in list(speakers_to_keep['Speaker']):\n",
    "\n",
    "                data_utt = []\n",
    "                sub_df2 = sub_df[sub_df['speaker'] == name]\n",
    "                \n",
    "                for line in sub_df2.iterrows():\n",
    "\n",
    "                    data1 = data[int(float(line[1]['start_time_float'])*fs) : int(float(line[1]['end_time_float'])*fs)]\n",
    "\n",
    "                    if len(data_utt) == 0:\n",
    "                        data_utt = data1\n",
    "                    else:\n",
    "                        data_utt = np.concatenate((data_utt, data1))\n",
    "                        \n",
    "                if len(data_utt) > 5000:\n",
    "                    spk_vs_file.append([name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\"), name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"_\", \"\").replace(\"(\", \"\").replace(\")\", \"\") + \"_Conv\" + str(int(conv))])\n",
    "                    wavfile.write('src/speaker_id_input/test_files/%s/'%ep + name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\").replace(\"_\", \"\") + \"_Conv\" + str(int(conv)) + '.wav', fs, data_utt)\n",
    "                    build_graph.append([name.replace(\"/\",\"\").replace(\".\",\"\").replace(\"'\", \"\").replace(\"(\", \"\").replace(\")\", \"\"),  str(int(conv))])\n",
    "                    \n",
    "    f = open(\"src/speaker_id_input/test_files/transcript_%s.txt\"%ep, 'w')\n",
    "    \n",
    "    for conv in np.unique(df['conv']):\n",
    "\n",
    "        sub_df = df[df['conv'] == conv] \n",
    "        sub_df = sub_df[['speaker', 'word', 'start_time_float', 'end_time_float']].drop_duplicates()\n",
    "\n",
    "        for name in np.unique(sub_df['speaker']):\n",
    "\n",
    "            if name in list(speakers_to_keep['Speaker']):\n",
    "\n",
    "                data_utt = []\n",
    "                sub_df2 = sub_df[sub_df['speaker'] == name]\n",
    "                sent = ''\n",
    "\n",
    "                for line in sub_df2.iterrows():\n",
    "\n",
    "                    data1 = data[int(float(line[1]['start_time_float'])*fs) : int(float(line[1]['end_time_float'])*fs)]\n",
    "\n",
    "                    if len(data_utt) == 0:\n",
    "                        data_utt = data1\n",
    "                        sent = line[1]['word']\n",
    "                    else:\n",
    "                        data_utt = np.concatenate((data_utt, data1))\n",
    "                        if line[1]['word'][0] == \"'\":\n",
    "                            sent = sent + line[1]['word']\n",
    "                        else:\n",
    "                            sent = sent + \" \" + line[1]['word']\n",
    "\n",
    "                if len(data_utt) > 5000:\n",
    "                    f.write(name + \"; \" + str(int(conv)) + \"; \" + sent + \"\\n\")\n",
    "                       \n",
    "    f.close()\n",
    "    \n",
    "    df3 = pd.DataFrame(spk_vs_file)\n",
    "    df3.columns = ['Name', 'File']\n",
    "    df3['channel'] = 'a'\n",
    "    df3.to_csv('src/speaker_id_input/test_file_%s.tsv'%ep, sep=\"\\t\", index=False)\n",
    "    \n",
    "    df4 = pd.DataFrame(build_graph)\n",
    "    #df4.columns = [\"Name\", \"Conv\"]\n",
    "    df4.to_csv('src/graph_file_%s.tsv'%ep, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for val in ['s01e07', 's01e08', 's01e19', 's01e20', 's02e01', 's02e04']:\n",
    "    processing(val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}