16_10_13 inspect timit mfcc.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "import cPickle as pickle\n",
    "\n",
    "with open('timit_tiny_utter_mfcc_13.pkl', 'rb') as data_f:\n",
    "    data = pickle.load(data_f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(312L, 13L)\n",
      "('F', 'CJF0')\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6a72828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_x = [y for x, y in data]\n",
    "data_y = [x for x, y in data]\n",
    "\n",
    "data_x_0 = np.array(data_x[0])\n",
    "xlen, ylen = data_x_0.shape\n",
    "x, y = np.mgrid[slice(0, xlen, 1),\n",
    "                slice(0, ylen, 1)]\n",
    "\n",
    "print data_x_0.shape\n",
    "print data_y[0]\n",
    "\n",
    "plt.figure(figsize=(32, 13), dpi=80)\n",
    "plt.pcolormesh(x, y, data_x_0[:, 1:])\n",
    "plt.xlim([0, xlen - 1])\n",
    "plt.ylim([0, ylen - 1])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}