SUBSTRACT_MEAN_VERSION+Make_spectogram+save_to_csv.ipynb 79.6 KB
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n평가방법 : positive를 높이는방식\\n\\n본논문\\n- STFT magnitude Spectrun\\n- n=40 log mel filter bank\\n\\n다른논문\\n-STFT maginitude spectogram\\n- n=80 mel scaled filter bank\\n- scale log magnitude\\n- batch nomalization (0,1)\\n- subtract mean overtime on spectogram (for remove frequency dependency noise = colored noise)\\n'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "평가방법 : positive를 높이는방식\n",
    "\n",
    "본논문\n",
    "- STFT magnitude Spectrun\n",
    "- n=40 log mel filter bank\n",
    "\n",
    "다른논문\n",
    "-STFT maginitude spectogram\n",
    "- n=80 mel scaled filter bank\n",
    "- scale log magnitude\n",
    "- batch nomalization (0,1)\n",
    "- subtract mean overtime on spectogram (for remove frequency dependency noise = colored noise)\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "#path 관련 라이브러리\n",
    "import glob\n",
    "import csv\n",
    "\n",
    "#csv저장 라이브러리\n",
    "import pandas as pd\n",
    "\n",
    "# Scientific Math 라이브러리  \n",
    "import numpy as np\n",
    "import librosa\n",
    "import librosa.display\n",
    "import os\n",
    "\n",
    "# Visualization 라이브러리\n",
    "import matplotlib.pyplot as plt\n",
    "import IPython.display as ipd\n",
    "\n",
    "#keras\n",
    "from keras.utils import np_utils\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Conv2D, MaxPooling2D, GRU,Dropout, Flatten,Reshape,BatchNormalization\n",
    "from keras.callbacks import ModelCheckpoint, EarlyStopping\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "audio_path = './SOUNDS/warbler/'\n",
    "n_mels = 40\n",
    "n_frame = 500\n",
    "window_size=1024\n",
    "hop_size=512\n",
    "sample_rate=25600\n",
    "num_file = 0 #데이터갯수 이후에 덮어씌워짐"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Preparing file lists.\n",
      "Done.\n",
      "45\n"
     ]
    }
   ],
   "source": [
    "#prepare labels\n",
    "labels = []\n",
    "with open(audio_path+'labels.csv', mode='r',encoding='utf-8') as f:\n",
    "    reader = csv.reader(f)\n",
    "    for row in reader : \n",
    "        labels.append(row)\n",
    "labels.sort(key=lambda x:x[0])\n",
    "labels = np.array(labels) \n",
    "labels = labels[0:-1,1]\n",
    "\n",
    "# prepare file lists\n",
    "print(\"Preparing file lists.\")\n",
    "dirs = []\n",
    "for filename in glob.glob(audio_path+'wav/'+'*.wav'):\n",
    "    dirs.append(filename)\n",
    "dirs.sort()\n",
    "print(\"Done.\")\n",
    "\n",
    "num_file = len(dirs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# subtract mean for simply romove white noise from spectogram_ Checking\n",
    "S=librosa.feature.melspectrogram(y=y, sr=sr,n_fft=window_size, hop_length=hop_size, power=2.0, n_mels=40)\n",
    "Y=S-S.mean(axis=1,keepdims=True)\n",
    "\n",
    "plt.figure(figsize=(10,4))\n",
    "librosa.display.specshow(librosa.power_to_db(Y,ref=np.max),y_axis='mel',x_axis='time')\n",
    "plt.colorbar(format='%+2.0f dB')\n",
    "plt.title('Mel Spectogram')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "making mel_spectogram.\n",
      "1000\n",
      "2000\n",
      "3000\n",
      "4000\n",
      "5000\n",
      "6000\n",
      "7000\n",
      "8000\n"
     ]
    }
   ],
   "source": [
    "print('making substract_mean_ver_mel_spectogram.')\n",
    "mel_spectogram = []\n",
    "count = 0\n",
    "for direct in dirs:\n",
    "    y,sr=librosa.core.load(direct,sr=sample_rate)\n",
    "    S=librosa.feature.melspectrogram(y=y, sr=sr,n_fft=window_size, hop_length=hop_size, power=2.0, n_mels=40)\n",
    "    if np.shape(S)[1]<500 : \n",
    "        S = np.concatenate((S,S),axis=1)\n",
    "    S=S[:,0:500]     \n",
    "    Y=S-S.mean(axis=1,keepdims=True)\n",
    "    mel_spectogram.append(Y)\n",
    "    count= count+1\n",
    "    if(count%1000==0) :\n",
    "        print(count)\n",
    "print('done')\n",
    "\n",
    "#np배열로 바꿔줌\n",
    "mel_spectogram=np.array(mel_spectogram)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "581\n",
      "2451\n",
      "4721\n",
      "5115\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(40, 98)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10초 이하인거는 반복해서  10초로 길이 늘려주기\n",
    "for i in range(0,num_file) : \n",
    "    if np.shape(mel_spectogram[i])[1] != 500:\n",
    "        mel_spectogram[i] = np.concatenate((mel_spectogram[i],mel_spectogram[i]),axis=1)\n",
    "        mel_spectogram[i] = np.concatenate((mel_spectogram[i],mel_spectogram[i]),axis=1)\n",
    "        mel_spectogram[i] = (mel_spectogram[i]) [:,0:500]\n",
    "        np.shape(mel_spectogram[i])\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#csv파일로 저장하려고 2차원배월로 만듬\n",
    "mel_spectogram=np.reshape(mel_spectogram,(np.shape(mel_spectogram)[0],-1))\n",
    "df = pd.DataFrame(mel_spectogram[0:num_file,:])\n",
    "df.to_csv(audio_path+\"/mel_spec.csv\")\n",
    "\n",
    "if(np.shape(labels)[0]!=num_file) :\n",
    "    print('something wrong')"
   ]
  }
 ],
 "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}