bug fix, average mel spec validation loss

2026-10-29 12:51:00 +08:00 · 2018-05-15 07:13:46 -07:00
1 parent b2e09f9f58
commit a31e60e928
@@ -315,7 +315,7 @@ class Decoder(nn.Module):
                if t >= T_decoder:
                    break
            else:
-                if t > 1 and stop_token > 0.5:
+                if t > 1 and stop_token > 0.8:
                    break
                elif t > self.max_decoder_steps:
                    print(" !! Decoder stopped with 'max_decoder_steps'. \
@@ -57,6 +57,49 @@
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[0m\u001b[01;31mbest_model.pth.tar\u001b[0m        \u001b[01;31mcheckpoint_18800.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_10152.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_2256.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_10528.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_2632.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_10904.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_3008.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_1128.pth.tar\u001b[0m   \u001b[01;31mcheckpoint_3384.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_11280.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_376.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_11656.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_3760.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_12032.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_4136.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_12408.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_4512.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_12784.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_4888.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_13160.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_5264.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_13536.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_5640.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_13912.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_6016.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_14288.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_6392.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_14664.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_6768.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_1504.pth.tar\u001b[0m   \u001b[01;31mcheckpoint_7144.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_15040.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_752.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_15416.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_7520.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_15792.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_7896.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_16168.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_8272.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_16544.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_8648.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_16920.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_9024.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_17296.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_9400.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_17672.pth.tar\u001b[0m  \u001b[01;31mcheckpoint_9776.pth.tar\u001b[0m\r\n",
+      "\u001b[01;31mcheckpoint_18048.pth.tar\u001b[0m  \u001b[01;34mcheckpoints\u001b[0m/\r\n",
+      "\u001b[01;31mcheckpoint_18424.pth.tar\u001b[0m  config.json\r\n",
+      "\u001b[01;31mcheckpoint_1880.pth.tar\u001b[0m   events.out.tfevents.1526350247.mlc1\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "ls /data/shared/erogol_models/May-14-2018_07:10PM-stop-token-separate-larger-lr-b2e09f9"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
   "outputs": [],
   "source": [
    "def tts(model, text, CONFIG, use_cuda, ap, figures=True):\n",
@@ -71,13 +114,13 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set constants\n",
-    "ROOT_PATH = '/data/shared/erogol_models/May-14-2018_07:02AM-torch4-seed-stop-token-separate-d629daf/'\n",
-    "MODEL_PATH = ROOT_PATH + '/checkpoint_27448.pth.tar'\n",
+    "ROOT_PATH = '/data/shared/erogol_models/May-14-2018_07:10PM-stop-token-separate-larger-lr-b2e09f9/'\n",
+    "MODEL_PATH = ROOT_PATH + '/checkpoint_16920.pth.tar'\n",
    "CONFIG_PATH = ROOT_PATH + '/config.json'\n",
    "OUT_FOLDER = ROOT_PATH + '/test/'\n",
    "CONFIG = load_config(CONFIG_PATH)\n",
@@ -86,7 +129,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
@@ -260,11 +303,11 @@
       "    )\n",
       "    (proj_to_mel): Linear(in_features=256, out_features=400, bias=True)\n",
       "    (stopnet): Sequential(\n",
-       "      (0): Linear(in_features=400, out_features=80, bias=True)\n",
+       "      (0): Linear(in_features=656, out_features=80, bias=True)\n",
       "      (1): ReLU()\n",
-       "      (2): Linear(in_features=80, out_features=400, bias=True)\n",
+       "      (2): Linear(in_features=80, out_features=656, bias=True)\n",
       "      (3): ReLU()\n",
-       "      (4): Linear(in_features=400, out_features=1, bias=True)\n",
+       "      (4): Linear(in_features=656, out_features=1, bias=True)\n",
       "      (5): Sigmoid()\n",
       "    )\n",
       "  )\n",
@@ -357,7 +400,7 @@
       ")"
      ]
     },
-     "execution_count": 4,
+     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
@@ -395,7 +438,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
@@ -405,7 +448,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
@@ -429,7 +472,7 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      " >  Run-time: 1.7982141971588135\n"
+      " >  Run-time: 5.755854845046997\n"
     ]
    },
    {
@@ -437,7 +480,7 @@
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
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truncated
+       "                    <source 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truncated
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       "              "
@@ -451,7 +494,7 @@
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    {
     "data": {
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truncated
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABHgAAAa4CAYAAAD7hW7eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3XuYZWdVJ/7v6u50J4FECBEMSZAgRMQIMxgCiMNFbpFBYH6jDIwiImNUwHHERwUdCYOioDMiKqBBI3hFZBSjgzJch7lASJAZhEgkhEs6hIQ7gYS+VK3fH1WRou2ufZI+u2qfqs/nec7T5+y9ar9vVe+qrl5nveut7g4AAAAAi2vHZk8AAAAAgKMjwQMAAACw4CR4AAAAABacBA8AAADAgpPgAQAAAFhwEjwAAAAAC06CBwAAAGDBSfAAAAAALDgJHgAAAIAFt2uzJzAFu2tPH5tbbfY0AAAYUvMK6rmEAF/pS/li9ve+mb5TF8kjH3Kr/tSnl0Yf513v2ff67j539IHYkiR4khybW+W+9dDNngYAAANq1wy/vu7cORyzNPwftV6eU4anl+d0HRknpu/iftNmT2EUn/r0Ut75+juNPs7OUz5w8uiDsGVJ8AAAsDD64MHhoFliAG6GTrKcOSVrYSR68AAAAAAsOBU8AAAAsK7O0ryWW8JIVPAAAAAALDgJHgAAAIAFZ4kWAAAArGOlybKd7Ji2yVfwVNWFVXVdVb33kOM/UlXvr6r3VdUvrTn+7Kq6oqour6pHbvyMAQAAADbWIlTwvCLJbyT5vZsOVNVDkjw2yb26e19V3X71+D2SPCHJNya5Y5I3VtWZ3b204bMGAABgy7BNOlM3+Qqe7n5bkk8fcviHk7ygu/etxly3evyxSV7V3fu6+0NJrkhyzoZNFgAAAGATTD7BcwRnJvkXVXVxVf2PqrrP6vFTk1y1Jm7v6rF/oqrOq6pLq+rSA9k38nQBAABYVJ3OUo//gKOxCEu0DmdXkpOS3C/JfZK8uqrucnMu0N0XJLkgSU6sk3wnAQAAAAtrURM8e5P8WXd3kndW1XKSk5NcneT0NXGnrR4DAACAW8wuWkzdoi7Rem2ShyRJVZ2ZZHeSTya5KMkTqmpPVZ2R5G5J3rlpswQAAADYAJOv4KmqP07y4CQnV9XeJOcnuTDJhatbp+9P8uTVap73VdWrk1yW5GCSp9tBCwAAgKPRSZZU8DBxk0/wdPcTj3Dqe44Q//wkzx9vRgAAAADTMvkEDwAAAGw2PXiYukXtwQMAAADAKhU8AAAAsI5OstQqeJg2FTwAAAAAC04FDwAAAAxY3uwJwAAVPAAAAAALTgUPAAAArKPTWbKLFhOnggcAAABgwangAQAAgPV0sqSAh4lTwQMAAACw4FTwAAAAwDo6dtFi+lTwAAAAACw4FTwAAACwrspSarMnAetSwQMAAACw4FTwAACwtdTE3mVvW+/Aousky76VmTgVPAAAAAALTgUPAAAADNCDh6mT4AEAYGuxJAqAbUiCBwAAANbRUcHD9OnBAwAAALDgVPAAAADAgOVWwcO0qeABAAAAWHAqeAAAAGAdevCwCFTwAAAAACw4FTwAAACwjk5lSX0EE+cOBQAAAFhwKngAAABggF20mDoVPAAAAAALTgUPAAAArMMuWiwCFTwAAAAAC04FDwAAAKyrstTqI5g2dygAAADAglPBAwAAAOvoJMvqI5g4dygAAADAglPBAwAAAAPsosXUqeABAAAAWHAqeAAAAGAd3XbRYvrcoQAAAAALTgUPAAAADFjWg4eJU8EDAAAAsOAkeAAAAAAWnCVaAAAAsI5OsqQ+golzhwIAAAAsOBU8AAAAsC7bpDN97lAAAACABaeCBwAAANbRSZbVRzBx7lAAAACABaeCBwAAAAYsdW32FGBdKngAAAAAFpwKHgAAAFhHp7KkPoKJc4cCAAAALDgVPAAAADBgudVHMG3uUAAAAIAFp4IHAAAA1tGJHjxMnjsUAAAAYMFNPsFTVRdW1XVV9d7DnPvxquqqOnn1dVXVr1XVFVX1nqq698bPGAAAgK2kU1nq8R9wNCaf4EnyiiTnHnqwqk5P8ogkH11z+NuT3G31cV6Sl23A/AAAAAA21eQTPN39tiSfPsypFyX5yawsh7zJY5P8Xq94R5LbVNUpGzBNAAAAtrDl7Bj9AUdjIe+gqnpskqu7+/8dcurUJFeteb139djhrnFeVV1aVZceyL6RZgoAAAAwvoXbRauqjk/y01lZnnWLdfcFSS5IkhPrpB4IBwAAYJvqTpZ6Iesj2EYWLsGT5OuSnJHk/1VVkpyW5G+r6pwkVyc5fU3saavHAAAAALashUvwdPffJbn9Ta+r6sNJzu7uT1bVRUmeUVWvSnLfJJ/r7ms2Z6YAAABsDZXl2OWKaZt8jVlV/XGStyf5+qraW1VPXSf8dUmuTHJFkpcnedoGTBEAAABgU02+gqe7nzhw/s5rnneSp489JwAAALaPjh48TJ87FAAAAGDBTb6CBwAAADbbkvoIJs4dCgAAALDgVPAAAADAOjqV5baLFtOmggcAAABgwangAQAAgAF68DB17lAAAACABaeCBwAAANbRSZZbfQTT5g4FAAAAWHAqeAAAAGBdlaXYRYtpU8EDAAAAsOBU8AAAAMA69OBhEbhDAQAAABacCh4AAAAYoAcPU6eCBwAAAGDBqeABAACAdXSXHjxMnjsUAAAAFkBVnVtVl1fVFVX1rMOcv1NVvaWq3l1V76mqR23GPNkcKngAAABgwNImV/BU1c4kL0ny8CR7k1xSVRd192Vrwv5jkld398uq6h5JXpfkzhs+WTaFCh4AAACYvnOSXNHdV3b3/iSvSvLYQ2I6yYmrz78qycc2cH5sMhU8AAAAsI5Osrwxu2idXFWXrnl9QXdfsPr81CRXrTm3N8l9D/n45yb571X1I0luleRhY02U6ZHgAQAAgGn4ZHeffRQf/8Qkr+ju/1JV90/y+1V1Vncvz2l+TJgEDwAAAKyrNr0HT5Krk5y+5vVpq8fWemqSc5Oku99eVccmOTnJdRsyQzbVpt+hAAAAwKBLktytqs6oqt1JnpDkokNiPprkoUlSVd+Q5Ngkn9jQWbJpVPAAAADAOjrJcm9ID54jz6H7YFU9I8nrk+xMcmF3v6+qnpfk0u6+KMmPJ3l5Vf1YVqb9fd3dmzdrNpIEDwAAACyA7n5dVrY+X3vsOWueX5bkARs9L6ZBggcAAAAGLOlwwsS5QwEAAAAWnAoeAAAAWEenNr0HDwxRwQMAAACw4CR4AAAAABacJVoAAAAwYFl9BBPnDgUAAABYcCp4AAAAYB3dyZImy0ycBA8AAFtLzek/Yd3zuQ4AbAAJHgAAABhgm3SmTg8eAAAAgAWnggcAgK3F0ipgzjqV5VYfwbS5QwEAAAAWnAoeAAAAGLAUPXiYNhU8AAAAAAtOBQ8AAACso2MXLaZPBQ8AAADAglPBAwAAAOuyixbT5w4FAAAAWHAqeAAAAGDAsl20mDgVPAAAAAALTgUPAAAArKM7WbKLFhOnggcAAABgwangAQAAgAF20WLq3KEAAAAAC04FDwAAAKyjU1nWg4eJU8EDAAAAsOBU8AAAAMCA5ajgYdpU8AAAAAAsuMkneKrqwqq6rqreu+bYL1fV+6vqPVX151V1mzXnnl1VV1TV5VX1yM2ZNQAAAFtFJ1nuGv0BR2PyCZ4kr0hy7iHH3pDkrO6+Z5J/SPLsJKmqeyR5QpJvXP2Yl1bVzo2bKgAAAMDGm3yCp7vfluTThxz77919cPXlO5Kctvr8sUle1d37uvtDSa5Ics6GTRYAAIAtabl3jP6Ao7EV7qDvT/LXq89PTXLVmnN7V4/9E1V1XlVdWlWXHsi+kacIAAAAMJ6F3kWrqn4mycEkf3hzP7a7L0hyQZKcWCf1nKcGAADAVqFHDgtgYRM8VfV9SR6d5KHdfVOC5uokp68JO231GAAAAMCWtZBLtKrq3CQ/meQx3X3DmlMXJXlCVe2pqjOS3C3JOzdjjgAAAGwNnWQ5NfoDjsbkK3iq6o+TPDjJyVW1N8n5Wdk1a0+SN1RVkryju3+ou99XVa9OcllWlm49vbuXNmfmAAAAABtj8gme7n7iYQ7/zjrxz0/y/PFmBAAAwHajBw9Tt5BLtAAAAAD4sslX8AAAAMBm6qjgYfpU8AAAAAAsOBU8AAAAMEAFD1OnggcAAABgwangAQAAgHV0SgUPk6eCBwAAAGDBqeABAACAActRwcO0qeABAAAAWHAqeAAAAGA9bRctpk8FDwAAAMCCU8EDALAV7dg5HLO8NP48NkPN6V327vlcB1h4HRU8TJ8KHgAAAIAFp4IHAAAABqjgYeokeAAAtqKtuvxqFpZWAbANSfAAAADAOjqlgofJ04MHAAAAYMFJ8AAAAAAsOEu0AADYfua1lfq86BsEk9eWaDFxKngAAAAAFpwKHgAAABiwHBU8TJsEDwAAW8u8ll/VDMXuvTyfsQDgKEnwAAAAwDq6Y5t0Jk8PHgAAAIAFp4IHAICtZV47UvXSfK4DbAl20WLqVPAAAAAALDgVPAAAALCu0oOHyVPBAwAAALDgVPAAAADAAD14mDoVPAAAAAALTgUPAAAArKMTPXiYPBU8AAAAAAtOBQ8AAACsp5PuzZ4ErE8FDwAAAMCCU8EDAAAAA5ajBw/TpoIHAAAAYMGp4AEAAIB1dJK2ixYTp4IHAAAAYMGp4AEAAIB1VZZV8DBxKngAAAAAFtzoFTxVddck5yQ5NcnVSS7u7g+OPS4AAADMS/dmzwDWN1qCp6qOTfLSJE9KsnPNqaWqemWSp3f3vrHGBwAAANguxqzg+c9JvjvJ+UleleTaJHdI8sQkz0lyQ5J/P+L4AAAAMBd20WLqxkzwPCHJf+ruX1hz7Mokz6+qJPmxSPAAADBvtYD/CbP2A4CjNGaCZ0+Sdx7h3MVLine truncated
      "text/plain": [
       "<Figure size 1152x1728 with 5 Axes>"
      ]
@@ -476,9 +519,9 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
   "metadata": {
-    "scrolled": true
+    "scrolled": false
   },
   "outputs": [
    {
@@ -493,7 +536,7 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      " >  Run-time: 2.7674951553344727\n"
+      " >  Run-time: 4.917491436004639\n"
     ]
    },
    {
@@ -501,7 +544,7 @@
      "text/html": [
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truncated
+       "                    <source 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truncated
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       "              "
@@ -515,7 +558,7 @@
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    {
     "data": {
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truncated
      "text/plain": [
       "<Figure size 1152x1728 with 5 Axes>"
      ]
@@ -530,59 +573,6 @@
    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap, figures=True)"
   ]
  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/erogol/projects/TTS/notebooks/utils.py:19: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
-      "  torch.from_numpy(seq), volatile=True).unsqueeze(0).cuda()\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " >  Run-time: 1.976245403289795\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "                <audio controls=\"controls\" >\n",
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-     "data": {
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truncated
-      "text/plain": [
-       "<Figure size 1152x1728 with 5 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sentence = \"Be a voice,not an echo.\"  # 'echo' is not in training set. \n",
-    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
-   ]
-  },
  {
   "cell_type": "code",
   "execution_count": 9,
@@ -600,7 +590,7 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      " >  Run-time: 4.0160746574401855\n"
+      " >  Run-time: 1.1238880157470703\n"
     ]
    },
    {
@@ -608,7 +598,7 @@
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
-       "                    <source 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truncated
+       "                    <source 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truncated
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
@@ -622,7 +612,7 @@
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    {
     "data": {
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truncated
+      "image/png": "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 truncated
      "text/plain": [
       "<Figure size 1152x1728 with 5 Axes>"
      ]
@@ -632,7 +622,7 @@
    }
   ],
   "source": [
-    "sentence = \"The human voice is the most perfect instrument of all.\"\n",
+    "sentence = \"Be a voice,not an echo.\"  # 'echo' is not in training set. \n",
    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
   ]
  },
@@ -653,8 +643,7 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      " !! Decoder stopped with 'max_decoder_steps'.                           Something is probably wrong.\n",
-      " >  Run-time: 14.455730199813843\n"
+      " >  Run-time: 2.4607677459716797\n"
     ]
    },
    {
@@ -662,7 +651,7 @@
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
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truncated
+       "                    <source 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"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 truncated
      "text/plain": [
       "<Figure size 1152x1728 with 5 Axes>"
      ]
@@ -686,7 +675,7 @@
    }
   ],
   "source": [
-    "sentence = \"I'm sorry Dave. I'm afraid I can't do that.\"\n",
+    "sentence = \"The human voice is the most perfect instrument of all.\"\n",
    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
   ]
  },
@@ -707,7 +696,7 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      " >  Run-time: 5.28196907043457\n"
+      " >  Run-time: 6.053100109100342\n"
     ]
    },
    {
@@ -715,7 +704,7 @@
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
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truncated
+       "                    <source 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truncated
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       "              "
@@ -729,7 +718,60 @@
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    {
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+      "text/plain": [
+       "<Figure size 1152x1728 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sentence = \"I'm sorry Dave. I'm afraid I can't do that.\"\n",
+    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/erogol/projects/TTS/notebooks/utils.py:19: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
+      "  torch.from_numpy(seq), volatile=True).unsqueeze(0).cuda()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " >  Run-time: 2.6189444065093994\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "                <audio controls=\"controls\" >\n",
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+       "                </audio>\n",
+       "              "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.Audio object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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truncated
      "text/plain": [
       "<Figure size 1152x1728 with 5 Axes>"
      ]
@@ -750,59 +792,6 @@
    "### Comparison with https://keithito.github.io/audio-samples/"
   ]
  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/erogol/projects/TTS/notebooks/utils.py:19: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
-      "  torch.from_numpy(seq), volatile=True).unsqueeze(0).cuda()\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " >  Run-time: 5.19165825843811\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "                <audio controls=\"controls\" >\n",
-       "                    <source 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truncated
-       "                    Your browser does not support the audio element.\n",
-       "                </audio>\n",
-       "              "
-      ],
-      "text/plain": [
-       "<IPython.lib.display.Audio object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<Figure size 1152x1728 with 5 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sentence = \"Generative adversarial network or variational auto-encoder.\"\n",
-    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
-   ]
-  },
  {
   "cell_type": "code",
   "execution_count": 13,
@@ -820,7 +809,8 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      " >  Run-time: 6.2348926067352295\n"
+      " !! Decoder stopped with 'max_decoder_steps'.                           Something is probably wrong.\n",
+      " >  Run-time: 13.515002012252808\n"
     ]
    },
    {
@@ -828,7 +818,7 @@
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truncated
+       "                    <source 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       "              "
@@ -842,7 +832,60 @@
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+      "text/plain": [
+       "<Figure size 1152x1728 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sentence = \"Generative adversarial network or variational auto-encoder.\"\n",
+    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/erogol/projects/TTS/notebooks/utils.py:19: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
+      "  torch.from_numpy(seq), volatile=True).unsqueeze(0).cuda()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " >  Run-time: 4.4747514724731445\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "                <audio controls=\"controls\" >\n",
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+       "                </audio>\n",
+       "              "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.Audio object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
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truncated
      "text/plain": [
       "<Figure size 1152x1728 with 5 Axes>"
      ]
@@ -873,7 +916,7 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      " >  Run-time: 6.5829548835754395\n"
+      " >  Run-time: 5.41440224647522\n"
     ]
    },
    {
@@ -881,7 +924,7 @@
      "text/html": [
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truncated
+       "                    <source 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truncated
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@@ -895,7 +938,7 @@
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truncated
      "text/plain": [
       "<Figure size 1152x1728 with 5 Axes>"
      ]
@@ -911,9 +954,52 @@
  },
  {
   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
   "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/erogol/projects/TTS/notebooks/utils.py:19: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
+      "  torch.from_numpy(seq), volatile=True).unsqueeze(0).cuda()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " >  Run-time: 2.631229877471924\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
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+       "                </audio>\n",
+       "              "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.Audio object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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truncated
+      "text/plain": [
+       "<Figure size 1152x1728 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
   "source": [
    "sentence = \"President Trump met with other leaders at the Group of 20 conference.\"\n",
    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
@@ -921,9 +1007,52 @@
  },
  {
   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
   "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/erogol/projects/TTS/notebooks/utils.py:19: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
+      "  torch.from_numpy(seq), volatile=True).unsqueeze(0).cuda()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " >  Run-time: 3.031719923019409\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "                <audio controls=\"controls\" >\n",
+       "                    <source 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truncated
+       "                    Your browser does not support the audio element.\n",
+       "                </audio>\n",
+       "              "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.Audio object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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 truncated
+      "text/plain": [
+       "<Figure size 1152x1728 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
   "source": [
    "sentence = \"The buses aren't the problem, they actually provide a solution.\"\n",
    "align, spec, stop_tokens = tts(model, sentence, CONFIG, use_cuda, ap)"
@@ -300,6 +300,7 @@ def evaluate(model, criterion, criterion_st, data_loader, current_step):

    # compute average losses
    avg_linear_loss /= (num_iter + 1)
+    avg_mel_loss /= (num_iter + 1)
    avg_stop_loss /= (num_iter + 1)
    avg_total_loss = avg_mel_loss + avg_linear_loss + stop_loss