16_10_13 verify mfcc.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n",
      "(312, 13)\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "\n",
    "import essentia.standard as ess\n",
    "\n",
    "nfft = 512\n",
    "nhop = 256\n",
    "fs = 16000.0\n",
    "fs_new = 22000.0\n",
    "\n",
    "nfft_out = (nfft // 2) + 1\n",
    "\n",
    "resampler = ess.Resample(inputSampleRate=fs, outputSampleRate=fs_new, quality=0)\n",
    "window = ess.Windowing(size=nfft, type='blackmanharris62')\n",
    "spectrum = ess.Spectrum(size=nfft)\n",
    "mfcc = ess.MFCC(inputSize=nfft_out, numberBands=40, numberCoefficients=13, sampleRate=fs_new)\n",
    "\n",
    "x = resampler(ess.MonoLoader(filename = 'SI648.WAV', sampleRate = fs)())\n",
    "\n",
    "mfccs = []\n",
    "\n",
    "for frame in ess.FrameGenerator(x, frameSize=nfft, hopSize=nhop):          \n",
    "  mX = spectrum(window(frame))\n",
    "  mfcc_bands, mfcc_coeffs = mfcc(mX)\n",
    "  mfccs.append(mfcc_coeffs)            \n",
    "mfccs = np.array(mfccs)\n",
    "print mfccs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc71b6167d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(32, 13), dpi=80)\n",
    "numFrames = int(mfccs[:,0].size)\n",
    "frmTime = nhop*np.arange(numFrames)/float(fs_new)\n",
    "plt.pcolormesh(frmTime, 1+np.arange(13), np.transpose(mfccs[:,0:]))\n",
    "plt.autoscale(tight=True)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "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": 1
}