17_09_10 sequence infomax.ipynb

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     "text": [
      "(5590840,)\n",
      "(21840, 512)\n"
     ]
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   "source": [
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "\n",
    "audio_fp = '/home/ubuntu/audio/106988__plingativator__fire1.wav'\n",
    "wlen = 512\n",
    "stride = 256\n",
    "fs = 44100\n",
    "\n",
    "tf.reset_default_graph()\n",
    "\n",
    "x = tf.contrib.ffmpeg.decode_audio(\n",
    "    tf.read_file(audio_fp),\n",
    "    file_format='wav',\n",
    "    samples_per_second=fs,\n",
    "    channel_count=1)\n",
    "x = tf.reshape(x, [1, -1, 1])\n",
    "\n",
    "W = tf.get_variable('W', [wlen, 1, wlen], tf.float32)\n",
    "b = tf.get_variable('b', [wlen], tf.float32)\n",
    "\n",
    "X = tf.nn.conv1d(x, W, stride, 'SAME')\n",
    "\n",
    "sess = tf.InteractiveSession()\n",
    "\n",
    "sess.run(tf.global_variables_initializer())\n",
    "_x, _X = sess.run([x[0, :, 0], X[0]])\n",
    "print _x.shape\n",
    "print _X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Audio, display\n",
    "\n",
    "_x_int16 = np.copy(_x)\n",
    "_x_int16 *= 32767.\n",
    "_x_int16 = np.clip(_x_int16, -32767., 32767.)\n",
    "_x_int16 = _x_int16.astype(np.int16)\n",
    "\n",
    "#Audio(_x_int16, rate=fs)"
   ]
  }
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