Added train and validation set generation audio_preprocessing.ipynb

audio_preprocessing.ipynb

@@ -136,6 +136,25 @@
     "np.save('features.npy', features)\n",
     "np.save('labels.npy',   labels)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = (features)\n",
+    "y = (labels)\n",
+    "\n",
+    "# Encode the classification labels\n",
+    "le = LabelEncoder()\n",
+    "yy = to_categorical(le.fit_transform(y)) \n",
+    "\n",
+    "# split the dataset \n",
+    "from sklearn.model_selection import train_test_split \n",
+    "\n",
+    "x_train, x_test, y_train, y_test = train_test_split(X, yy, test_size=0.2, random_state = 42)"
+   ]
   }
  ],
  "metadata": {