Audio quality analysis

main.ipynb

@@ -75,6 +75,25 @@
     "    return (D)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metadata = pd.read_csv('./UrbanSound8k/metadata/UrbanSound8K.csv')\n",
+    "\n",
+    "audiodata = []\n",
+    "for index, row in metadata.iterrows():\n",
+    "    \n",
+    "    file_name = os.path.join(os.path.abspath('UrbanSound8k/audio/'),'fold'+str(row[\"fold\"])+'/',str(row[\"slice_file_name\"]))\n",
+    "    data = wavfilehelper.read_file_properties(file_name)\n",
+    "    audiodata.append(data)\n",
+    "\n",
+    "# Convert into a Panda dataframe\n",
+    "audiodf = pd.DataFrame(audiodata, columns=['num_channels','sample_rate','bit_depth'])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -139,6 +158,13 @@
     "\n",
     "x_train, x_test, y_train, y_test = train_test_split(X, yy, test_size=0.2, random_state = 42)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {