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+++ b/visualizing_speech_features.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import os\n",
+    "import scipy.io.wavfile as wav\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "import copy\n",
+    "import random\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class extract_features(object):\n",
+    "    def __init__(self,window,frame_length,sampling_rate):\n",
+    "        self.window = window\n",
+    "        self.frame_length = frame_length\n",
+    "        self.sampling_rate = sampling_rate\n",
+    "        self.split_frames()\n",
+    "        self.ZCR()\n",
+    "        self.RMS()\n",
+    "        self.fft_normalization()\n",
+    "        self.spectral_flux()\n",
+    "        self.spectral_rolloff()\n",
+    "        self.spectral_centroid()\n",
+    "        self.bandwidth()\n",
+    "        self.return_()\n",
+    "    def split_frames(self):\n",
+    "        self.frames = []\n",
+    "        samples_per_frame = int((self.frame_length*(10**-3))*self.sampling_rate)\n",
+    "        index = 0\n",
+    "        while index < len(self.window):\n",
+    "            self.frames.append(self.window[index:index+samples_per_frame])\n",
+    "            index += samples_per_frame\n",
+    "        print(len(self.frames))\n",
+    "    def ZCR(self):\n",
+    "        prev_value = 1\n",
+    "        count = 0\n",
+    "        for each in self.window:\n",
+    "            if (prev_value*each) < 0:\n",
+    "                count += 1\n",
+    "            prev_value = each\n",
+    "        self.ZCR = count/(len(self.window)-1)\n",
+    "        print(\"ZCR:\",count/(len(sig)-1))\n",
+    "    def RMS(self):\n",
+    "        RMS_entire_frame = np.sqrt(np.mean(self.window**2))\n",
+    "        print(\"RMS:\",RMS_entire_frame)\n",
+    "        RMS_count = 0\n",
+    "        for each_frame in self.frames:\n",
+    "            RMS_current_frame = np.sqrt(np.mean(each_frame**2))\n",
+    "            if RMS_current_frame < 0.5*(RMS_entire_frame):\n",
+    "                RMS_count += 1\n",
+    "        print(\"Low Energy frame rate:\",RMS_count)\n",
+    "        self.RMS_count = RMS_count\n",
+    "    def fft_normalization(self):\n",
+    "        self.frames_fft_normalised = []\n",
+    "        self.frames_freq_bins = []\n",
+    "        self.frames_phase_angle_bins = []\n",
+    "        for each_frame in self.frames:\n",
+    "            fft_ = np.fft.fft(each_frame)\n",
+    "            fft_frame = np.absolute(fft_)\n",
+    "            phase_angle = np.angle(fft_,deg = True)[1:]\n",
+    "            frames_freq = np.fft.fftfreq(len(each_frame),d = (1/self.sampling_rate))[1:]\n",
+    "            fft_frame_normalised = fft_frame[1:]/(np.sum(abs(fft_frame[1:])))\n",
+    "            self.frames_fft_normalised.append(fft_frame_normalised[frames_freq>0])\n",
+    "            self.frames_freq_bins.append(frames_freq[frames_freq>0])\n",
+    "            self.frames_phase_angle_bins.append(phase_angle[frames_freq>0])\n",
+    "\n",
+    "        #plt.scatter(self.frames_freq_bins[0],self.frames_phase_angle_bins[0])\n",
+    "    def spectral_flux(self):\n",
+    "        self.spectral_flux = []\n",
+    "        for frame_index in range(len(self.frames)):\n",
+    "            test = copy.deepcopy(self.frames_fft_normalised[frame_index])\n",
+    "            test = np.insert(test,len(test),1)\n",
+    "            test_1 = copy.deepcopy(self.frames_fft_normalised[frame_index])\n",
+    "            test_1 = np.insert(test_1,0,1)\n",
+    "            self.spectral_flux.append(np.sum((test - test_1)[1:-1]**2))\n",
+    "        #plt.scatter(np.arange(len(self.frames)),self.spectral_flux)\n",
+    "    def spectral_rolloff(self):\n",
+    "        self.spectral_rolloff = []\n",
+    "        percentage = 0.93\n",
+    "        for frame_index in range(len(self.frames)):\n",
+    "            spectral_cum_sum = np.cumsum(self.frames_fft_normalised[frame_index])\n",
+    "            roll_of_percentage = percentage*spectral_cum_sum[-1]\n",
+    "            lower_spectral_indices = np.argwhere(spectral_cum_sum<roll_of_percentage)\n",
+    "            spectral_roll_off_f = self.frames_freq_bins[frame_index][lower_spectral_indices[-1][0]]\n",
+    "            self.spectral_rolloff.append(spectral_roll_off_f)\n",
+    "        #plt.scatter(np.arange(len(self.frames)),self.spectral_rolloff)\n",
+    "    def spectral_centroid(self):\n",
+    "        self.spectral_centroid = []\n",
+    "        for frame_index in range(len(self.frames)):\n",
+    "            num = np.sum(self.frames_freq_bins[frame_index]*(self.frames_fft_normalised[frame_index]**2))\n",
+    "            den = np.sum(self.frames_fft_normalised[frame_index]**2)\n",
+    "            self.spectral_centroid.append(num/den)\n",
+    "        #plt.scatter(np.arange(len(self.frames)),self.spectral_centroid)\n",
+    "    def bandwidth(self):\n",
+    "        self.bandwidth_ = []\n",
+    "        for frame_index in range(len(self.frames)):\n",
+    "            num = np.sum(((self.frames_freq_bins[frame_index] - self.spectral_centroid[frame_index])**2)*\\\n",
+    "                         (self.frames_fft_normalised[frame_index]**2))\n",
+    "            den = np.sum(self.frames_fft_normalised[frame_index]**2)\n",
+    "            self.bandwidth_.append(num/den)\n",
+    "        #plt.scatter(np.arange(len(self.frames)),self.bandwidth_)\n",
+    "    def return_(self):\n",
+    "        return [self.ZCR,self.RMS_count,self.spectral_flux,\\\n",
+    "                self.spectral_rolloff,self.spectral_centroid,self.bandwidth_]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "****************************\n",
+      "reading: music-fma-0003.wav\n",
+      "sampling rate: 16000 signal length 5196487\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.09226638924842673\n",
+      "RMS: nan\n",
+      "Low Energy frame rate: 0\n",
+      "****************************\n",
+      "reading: noise-sound-bible-0048.wav\n",
+      "sampling rate: 16000 signal length 1002266\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.4758252557956229\n",
+      "RMS: 25.4414461517\n",
+      "Low Energy frame rate: 127\n",
+      "****************************\n",
+      "reading: noise-free-sound-0042.wav\n",
+      "sampling rate: 16000 signal length 5112895\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.09370524794763983\n",
+      "RMS: 26.0587778317\n",
+      "Low Energy frame rate: 122\n",
+      "****************************\n",
+      "reading: speech-librivox-0002.wav\n",
+      "sampling rate: 16000 signal length 4059638\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.09947588910042943\n",
+      "RMS: 44.7830427473\n",
+      "Low Energy frame rate: 296\n",
+      "****************************\n",
+      "reading: music-fma-wa-0011.wav\n",
+      "sampling rate: 16000 signal length 2036297\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.22940721781116302\n",
+      "RMS: 15.7565781898\n",
+      "Low Energy frame rate: 106\n",
+      "****************************\n",
+      "reading: speech-librivox-0006.wav\n",
+      "sampling rate: 16000 signal length 7095693\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.055872633705070625\n",
+      "RMS: 31.6642246536\n",
+      "Low Energy frame rate: 159\n",
+      "****************************\n",
+      "reading: music-hd-0014.wav\n",
+      "sampling rate: 16000 signal length 4502674\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.10550222056987038\n",
+      "RMS: 16.2532944737\n",
+      "Low Energy frame rate: 71\n",
+      "****************************\n",
+      "reading: music-jamendo-0050.wav\n",
+      "sampling rate: 16000 signal length 5461888\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.08764480114656345\n",
+      "RMS: 13.4179451513\n",
+      "Low Energy frame rate: 44\n",
+      "****************************\n",
+      "reading: speech-us-gov-0010.wav\n",
+      "sampling rate: 16000 signal length 9599268\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.04963326887355045\n",
+      "RMS: 24.3824026366\n",
+      "Low Energy frame rate: 103\n",
+      "****************************\n",
+      "reading: noise-free-sound-0002.wav\n",
+      "sampling rate: 16000 signal length 1139480\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.4211521230316662\n",
+      "RMS: 0.692723339436\n",
+      "Low Energy frame rate: 0\n",
+      "****************************\n",
+      "reading: noise-free-sound-0015.wav\n",
+      "sampling rate: 16000 signal length 1459918\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.32132032163472307\n",
+      "RMS: 26.1395204065\n",
+      "Low Energy frame rate: 138\n",
+      "****************************\n",
+      "reading: speech-us-gov-0067.wav\n",
+      "sampling rate: 16000 signal length 2524056\n",
+      "960000\n",
+      "2400\n",
+      "ZCR: 0.1548326007159115\n",
+      "RMS: 40.6358519865\n",
+      "Low Energy frame rate: 223\n"
+     ]
+    }
+   ],
+   "source": [
+    "ROOT_FOLDER = \"/Users/siva/Documents/speaker_recognition/datasets/musan/testing/\"\n",
+    "FRAME_LENGTH = 25\n",
+    "os.chdir(ROOT_FOLDER)\n",
+    "all_audio = os.listdir()\n",
+    "sample_size = 960000\n",
+    "dataset_dict = {\"ZCR\":[],\"RMS\":[],\"spectral_flux\":[],\\\n",
+    "               \"spectral_centroid\":[],\"spectral_rolloff\":[],\\\n",
+    "               \"bandwidth\":[],\"audio\":[]}\n",
+    "for audio in all_audio:\n",
+    "    if \"noise\" in audio or \"music\" in audio or \"speech\" in audio:\n",
+    "        print(\"****************************\")\n",
+    "        print(\"reading:\",audio)\n",
+    "        sampling_rate,sig = wav.read(ROOT_FOLDER+audio)\n",
+    "        print(\"sampling rate:\",sampling_rate,\"signal length\",len(sig))\n",
+    "        index_1 = int((len(sig)//2)-(sample_size//2))\n",
+    "        index_2 = int((len(sig)//2)+(sample_size//2))\n",
+    "        sample = sig[index_1:index_2]\n",
+    "        print(len(sample))\n",
+    "        ZCR,RMS,sf,sr,sc,bd = extract_features(sample,FRAME_LENGTH,sampling_rate).return_()\n",
+    "        dataset_dict[\"ZCR\"].append(ZCR)\n",
+    "        dataset_dict[\"RMS\"].append(RMS)\n",
+    "        dataset_dict[\"spectral_flux\"].append(sf)\n",
+    "        dataset_dict[\"spectral_centroid\"].append(sc)\n",
+    "        dataset_dict[\"spectral_rolloff\"].append(sr)\n",
+    "        dataset_dict[\"bandwidth\"].append(bd)\n",
+    "        if audio.split(\"-\")[0] == \"noise\":\n",
+    "            dataset_dict[\"audio\"].append(\"r\") #RED -> NOISE\n",
+    "        elif audio.split(\"-\")[0] == \"music\":\n",
+    "            dataset_dict[\"audio\"].append(\"g\") #GREEN -> MUSIC\n",
+    "        elif audio.split(\"-\")[0] == \"speech\":\n",
+    "            dataset_dict[\"audio\"].append(\"b\") #BLUE -> SPEECH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x11e6eebe0>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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LX8KLV75krfFtHt2W9x1yZAUVSWoHhghpCOjs7OTj75jG+P+eCKuBPhgzeyuOmPAB9oy9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\nECFJkkoxREiSpFL+LzxqP3/ZK2CrAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11e6ec6d8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(np.arange(len(dataset_dict[\"ZCR\"])),dataset_dict[\"ZCR\"],c = dataset_dict[\"audio\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x1050cbd68>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Oehycb3Mm2RkST5NNRTwdEV3AIWTTD9OBo4BDIuIpgIj4G3Ao2XUd7gc2AibU4TlIkqQG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\nJEkq7P8DS3q+wOR0TWEAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11e6ec3c8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(np.arange(len(dataset_dict[\"RMS\"])),dataset_dict[\"RMS\"],c = dataset_dict[\"audio\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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441lJKk8TyuSkpAyjWzU0ba5wOGyWDtGbzv7t27i6rXVKMLHDuYBXS7tHx/VH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\nAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10548cb38>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(len(dataset_dict[\"spectral_flux\"])):\n",
+    "    ri = random.sample(dataset_dict[\"spectral_flux\"][i],k = 50)\n",
+    "    plt.scatter(np.arange(len(ri)),ri,c = dataset_dict[\"audio\"][i],alpha = 0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Hj4dV2TMgWboR+9nV5ZZKIJCTMPEJBHJsq4PILpJ0TBCxi8XbO7fh6enCP2US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\nlCRajCJJOoStgyTTSR7s6r/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8Y9fqM5owITmeJfKaG73oR7XECVyX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\n+oU6xosAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x126cbdc50>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(len(dataset_dict[\"spectral_centroid\"])):\n",
+    "    ri = random.sample(dataset_dict[\"spectral_centroid\"][i],k = 50)\n",
+    "    plt.scatter(np.arange(len(ri)),ri,c = dataset_dict[\"audio\"][i],alpha = 0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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71xrWX8HlQygVgrhobR4VMjOsrLBP8VGzZ13CioJ69jfQQ8xPbjYvBQZNxiVz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\nL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3aw4aV1dFZ1UNU5krnnaz45LGGX6SWZW0CjPo50zowMlXZ/xES6lNxU20T72HaaaptY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\nUiEiIiKh+H8wmANRZF5VfQAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1272d2b38>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(len(dataset_dict[\"spectral_rolloff\"])):\n",
+    "    ri = random.sample(dataset_dict[\"spectral_rolloff\"][i],k = 50)\n",
+    "    plt.scatter(np.arange(len(ri)),ri,c = dataset_dict[\"audio\"][i],alpha = 0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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gjmy6IbJTrfUvgB9idjJ+BXOI9v1R+d4N7AbqgceB71nz0WDlff0Y8/6yg2UihBBCiATy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\nQohJTxIaIYQQQkx6/x+0DQd0sARoNQAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x127523be0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(len(dataset_dict[\"bandwidth\"])):\n",
+    "    ri = random.sample(dataset_dict[\"bandwidth\"][i],k = 50)\n",
+    "    plt.scatter(np.arange(len(ri)),ri,c = dataset_dict[\"audio\"][i],alpha = 0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "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": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}