{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e15b11ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "from glob import glob\n",
    "import pickle\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c0b0850a",
   "metadata": {},
   "outputs": [],
   "source": [
    "speech_filenames = glob(\"Female/*/*.wav\") + glob(\"Male/*/*.wav\") + glob(\"NoNoise/*.wav\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4b02aef0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "539"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len_files = len(speech_filenames)\n",
    "len_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fd79d77b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Female/TMIT/SX243.wav'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "speech_filenames[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "43554c74",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('total_files_path.txt', 'wb') as handle:\n",
    "    pickle.dump(speech_filenames, handle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b2d5c828",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('total_files_path.txt', 'rb') as handle:\n",
    "    b = pickle.load(handle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "00ec128c",
   "metadata": {},
   "outputs": [],
   "source": [
    "random.shuffle(b)\n",
    "random.shuffle(b)\n",
    "random.shuffle(b)\n",
    "random.shuffle(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bdd539cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Male/PTDB-TUG/mic_M02_sx78.wav',\n",
       " 'Female/TMIT/SX150.wav',\n",
       " 'Female/PTDB-TUG/mic_F01_sx16.wav',\n",
       " 'Female/TMIT/SI485.wav',\n",
       " 'Female/PTDB-TUG/mic_F07_si1593.wav']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e03922fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_ratio = 0.80\n",
    "val_ratio = 0.10\n",
    "test_ratio = 0.10\n",
    "\n",
    "train_n = int(len_files*train_ratio)\n",
    "val_n = int(len_files*val_ratio)\n",
    "test_n = int(len_files*test_ratio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cffab26e",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_files = b[:train_n]\n",
    "val_files = b[train_n:train_n + val_n]\n",
    "test_files = b[train_n + val_n:train_n + val_n + test_n]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c031a7d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(431, 53, 53)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_files),len(val_files),len(test_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "71188f4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('train_files_path.txt', 'wb') as handle:\n",
    "    pickle.dump(train_files, handle)\n",
    "    \n",
    "with open('validation_files_path.txt', 'wb') as handle:\n",
    "    pickle.dump(val_files, handle)\n",
    "    \n",
    "with open('test_files_path.txt', 'wb') as handle:\n",
    "    pickle.dump(test_files, handle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6296f7d8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6de6f440",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
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