drone_sound_classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import librosa \n",
    "import torch \n",
    "import torch.nn as nn\n",
    "import pandas as pd "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path= \"E:\\\\datasets\\\\drone_sounds\\\\drone_data.npy\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "\n",
    "hepsi_drone=np.load(path,allow_pickle=True)\n",
    "\n",
    "hepsi_df=pd.DataFrame(hepsi_drone,columns=[\"Name\",\"Data\",\"sample rate\",\"length\",\"label\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Data</th>\n",
       "      <th>sample rate</th>\n",
       "      <th>length</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B_S2_D1_133-bebop_000_.wav</td>\n",
       "      <td>[-0.13182852, -0.14510787, -0.003021273, 0.085...</td>\n",
       "      <td>22050</td>\n",
       "      <td>0.772018</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B_S2_D1_088-bebop_004_.wav</td>\n",
       "      <td>[0.084993385, 0.041818485, -0.030503359, -0.03...</td>\n",
       "      <td>22050</td>\n",
       "      <td>0.896009</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B_S2_D1_115-bebop_004_.wav</td>\n",
       "      <td>[0.00076761027, 0.017137064, 0.01910391, -0.03...</td>\n",
       "      <td>22050</td>\n",
       "      <td>0.896009</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B_S2_D1_116-bebop_004_.wav</td>\n",
       "      <td>[-0.023073137, 0.024521964, 0.07881488, 0.0558...</td>\n",
       "      <td>22050</td>\n",
       "      <td>0.896009</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>B_S2_D1_076-bebop_004_.wav</td>\n",
       "      <td>[0.09181445, 0.030784324, -0.028941356, -0.016...</td>\n",
       "      <td>22050</td>\n",
       "      <td>0.896009</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2063</th>\n",
       "      <td>jackal_reverbed17.wav</td>\n",
       "      <td>[-0.0017295582, 0.00580514, 0.015104758, 0.022...</td>\n",
       "      <td>22050</td>\n",
       "      <td>1.024036</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2064</th>\n",
       "      <td>jackal_reverbed19.wav</td>\n",
       "      <td>[-0.020374442, -0.023320988, -0.0066952184, 0....</td>\n",
       "      <td>22050</td>\n",
       "      <td>1.024036</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>jackal_reverbed2.wav</td>\n",
       "      <td>[0.006862265, 0.004533185, -9.205535e-05, 0.00...</td>\n",
       "      <td>22050</td>\n",
       "      <td>1.024036</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2066</th>\n",
       "      <td>jackal_noisy_x82.wav</td>\n",
       "      <td>[0.14210652, 0.23971367, 0.20274945, 0.4468968...</td>\n",
       "      <td>22050</td>\n",
       "      <td>1.024036</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2067</th>\n",
       "      <td>jackal102.wav</td>\n",
       "      <td>[-0.017812617, -0.02699486, -0.012363306, -0.0...</td>\n",
       "      <td>22050</td>\n",
       "      <td>1.024036</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2068 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Name  \\\n",
       "0     B_S2_D1_133-bebop_000_.wav   \n",
       "1     B_S2_D1_088-bebop_004_.wav   \n",
       "2     B_S2_D1_115-bebop_004_.wav   \n",
       "3     B_S2_D1_116-bebop_004_.wav   \n",
       "4     B_S2_D1_076-bebop_004_.wav   \n",
       "...                          ...   \n",
       "2063       jackal_reverbed17.wav   \n",
       "2064       jackal_reverbed19.wav   \n",
       "2065        jackal_reverbed2.wav   \n",
       "2066        jackal_noisy_x82.wav   \n",
       "2067               jackal102.wav   \n",
       "\n",
       "                                                   Data sample rate    length  \\\n",
       "0     [-0.13182852, -0.14510787, -0.003021273, 0.085...       22050  0.772018   \n",
       "1     [0.084993385, 0.041818485, -0.030503359, -0.03...       22050  0.896009   \n",
       "2     [0.00076761027, 0.017137064, 0.01910391, -0.03...       22050  0.896009   \n",
       "3     [-0.023073137, 0.024521964, 0.07881488, 0.0558...       22050  0.896009   \n",
       "4     [0.09181445, 0.030784324, -0.028941356, -0.016...       22050  0.896009   \n",
       "...                                                 ...         ...       ...   \n",
       "2063  [-0.0017295582, 0.00580514, 0.015104758, 0.022...       22050  1.024036   \n",
       "2064  [-0.020374442, -0.023320988, -0.0066952184, 0....       22050  1.024036   \n",
       "2065  [0.006862265, 0.004533185, -9.205535e-05, 0.00...       22050  1.024036   \n",
       "2066  [0.14210652, 0.23971367, 0.20274945, 0.4468968...       22050  1.024036   \n",
       "2067  [-0.017812617, -0.02699486, -0.012363306, -0.0...       22050  1.024036   \n",
       "\n",
       "     label  \n",
       "0        1  \n",
       "1        1  \n",
       "2        1  \n",
       "3        1  \n",
       "4        1  \n",
       "...    ...  \n",
       "2063     4  \n",
       "2064     4  \n",
       "2065     4  \n",
       "2066     4  \n",
       "2067     4  \n",
       "\n",
       "[2068 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hepsi_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Audio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=hepsi_df.iloc[0][\"Data\"]\n",
    "b=hepsi_df.iloc[1200][\"Data\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Audio(data=a, rate=22050))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Audio(data=b, rate=22050))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.13182852, -0.14510787, -0.00302127, ..., -0.04713856,\n",
       "       -0.04151557,  0.        ], dtype=float32)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.05720551, 0.05520809, 0.03592632, ..., 0.06802534, 0.05484772,\n",
       "       0.        ], dtype=float32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12, 34)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mfccs = librosa.feature.mfcc(y=a, sr=22050, n_mfcc=12)\n",
    "mfccs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2068, 5)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hepsi_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Audio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "unique_labels = {}\n",
    "for _, item in hepsi_df.iterrows():\n",
    "    label = item['label']\n",
    "    if label not in unique_labels:\n",
    "        unique_labels[label] = []  # Her etiket için bir liste başlat\n",
    "    if len(unique_labels[label]) < 2:  # İki örnek alıncaya kadar devam et\n",
    "        unique_labels[label].append(item)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'audio_data' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[15], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43maudio_data\u001b[49m\u001b[38;5;241m.\u001b[39mshape\n",
      "\u001b[1;31mNameError\u001b[0m: name 'audio_data' is not defined"
     ]
    }
   ],
   "source": [
    "audio_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: B_S2_D1_133-bebop_000_.wav, Etiket: 1\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: B_S2_D1_088-bebop_004_.wav, Etiket: 1\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: alti_shifted23.wav, Etiket: 0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: alti_reverb23.wav, Etiket: 0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: savunma_shifted39.wav, Etiket: 2\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: drone_savunma39.wav, Etiket: 2\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: Membo_2_028-membo_004_.wav, Etiket: 3\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: Membo_0_012-membo_004_.wav, Etiket: 3\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: jackal_x29.wav, Etiket: 4\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: jackal_noisy29.wav, Etiket: 4\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for label, items in unique_labels.items():\n",
    "    for item in items:\n",
    "        audio_data = np.array(item['Data'])\n",
    "        sample_rate = item['sample rate']\n",
    "        print(f\"Çalıyor: {item['Name']}, Etiket: {label}\")\n",
    "        \n",
    "        display(Audio(data=audio_data, rate=sample_rate))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_4_sounds = hepsi_df[hepsi_df['label'] == 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: jackal_x29.wav, Etiket: 4\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: jackal_noisy29.wav, Etiket: 4\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,UklGRtQFAABXQVZFZm10IBAAAAABAAEAIlYAAESsAAACABAAZGF0YbAFAADhlCvliz/OFko3gtoc4sIWeU2FuWYeVf2oufLRSu8q8ZYcVCK2Ah81NwPuKwH3JrVHqJcOQDYe733RkRulQwH0TNy58pVABfxq4Xndndep/RAYTiZGwMETtqxX8G4cdO0KE0TikBST14vBPea9FNKmmQVPDlXs2xgL6ogi9s+lNpsR1f8Mc2Y/btx75zbRF/iwLtb1BtNQ60w5iw+8WXUFezFe/oH97s1Hzc8wW8a53bz8FCKiDF4MPORm5+vyejAUP2nmQsQu1m7hqhZxX48Ad8LBUBAnFdeI3RPdHBaB/pHoDQfwK6dh+/XVjrTMvA6mHVDnFdbZRn0JoP1JMQTHoxaw/dUgaVVUEh/ufrTqEpQG4bDyO1wO+TiF7Jq9pj2lM/ktcLjtpgfQnSXHD0b5cSquCoi2wQx76gfgOtm1MocoaMB+/6jkAiM61TbAXg62IloGo8Nkv/X+V9cWLg3ozve4Myo+DySN7CYGg+CoUDcHnN7hFz0lEf58F3wjQJ+T8OQgfs9N+EHYm/o29IwVSyDr755EVh2vR/zI29J1NOkS/QKp3LdE2wyYIMjCzsjd9yDcBCgCJMwusA3iGaggBhQC8zoR5Qfg/ZIRij92PJACttM8wg7bl42RM5Ac8MlHGaS3yAjeRfA7NA2WqvQed3iB08fVx/dQ9oug3ddKMBn5aAWGq3Souvt67RcyESKIzEjhmre6AZTrHhwW7xojSgwYzO70h+Nl5qXAaQTB1PvW2Q046eXV/4UBgPn8Cfa6KQPbl9F19un62cjzwpXaG/HQzxa8afn30/fjp78dvwuz6AKb9/1ICeG6Ics5VpEnLkLEZcD27xDW40ULQTshNPjq9bdKiCItUkwKrxdc/0yxkdef+Ar3owXQT/oJekzcMx/w1+oXBiY65vi1LQxX1wno4Qo0vkLm0YjZ4/g11Bj+LhKqpik5N/QV8SVLGtc1IA7Qeg5VO6zXDtNSPSoYVeHUILj2JAt50ErtOCI5JNQiOf8Q7/PqYt8h77kG9dg+5tLJIul45iLffCzL2OE72e8R05EYCeraHCTeGwqB74AQOdjME/IoS8tx80zpcv0DLSoUOiuc8yraeivaB9bYyp6xIuHmFurw2kDwSg1Yt7tcbwx5tW3ENfUsFS8ug+cBlrrxcN6BK5T6Pe9d+GEi1+VSvDAchB5IRHk1lGFN3JgYOwohxy822v6Z/Q8VnQvj5IfYSwH0AEghC8k/6QAQlQqOI87hEOuAG//b1+jMWh2bRiAjEyDaCtFB0tcT0YCPOLjXFLscc5T7HerMP1n3eBhk2j4Nr0B05hQK5TMbLpevkgvt+5AAvBkT9pMZxVYy2GC46/WYqB/13QYL/Y4J+QQVpA3zswt8zLYLpzHEHoofLyCu4Hi5tb6T8LIS3gyArz6q9yRAO97IZwY5Be+Lew9lKKsMmzT13FKmid7yS5b1/8bnztji6QKFFfqkMeg/GSXzIynguElDENl2URvSd/SyE/XPqlOG4J47aeAvMePXIvE30ZT6MyIs3Cr6t51LBHv4WBPVIIv5o/i97+fHMffIJ6v73gb39S8gZgkV6f7wOdsz5awSogm57TMxXOm/FCTzb7+oFXP6VC7o7LHeeTUlxdcfaRrT8VUsrN4eFckL1Nn7CtVOJRZZ7VP5TnhgECvQXhW/1l8P8vyqFvQgFPP/PaBAxBY25+32XTDp0xQIJu8f92n8c+2YRNz+SgElyYDeDRlJ6XcB2QOVPAMFLCETXCH250ot68rZXE6rCR4HVUdtJdnqewIR7vwm0zpekR7psRXy1b46YjT7UegEgOdq2hTyStjnER8+n9dRvDSjh8d8ui/SKiOTNnQzgS/AqgwOdvRJ6hpFTOl/M8EaBNQ9Iib8Lr9J/fEKXtB+y9nvVr5PB5dQ3e2G+qFP6fnjJ1oFRu41U10w3z61+QAA\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: jackal_reverbed104.wav, Etiket: 4\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Çalıyor: jackal_noisy_x104.wav, Etiket: 4\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source src=\"data:audio/wav;base64,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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_sounds_to_play = min(4, len(label_4_sounds))\n",
    " \n",
    "for index in range(num_sounds_to_play):\n",
    "    item = label_4_sounds.iloc[index]  \n",
    "    audio_data = np.array(item['Data'])\n",
    "    sample_rate = item['sample rate']\n",
    "    print(f\"Çalıyor: {item['Name']}, Etiket: {item['label']}\")\n",
    "    \n",
    "    display(Audio(data=audio_data, rate=sample_rate))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     label                                               Data\n",
      "0        1  [-0.13182852, -0.14510787, -0.003021273, 0.085...\n",
      "1        1  [0.084993385, 0.041818485, -0.030503359, -0.03...\n",
      "2        1  [0.00076761027, 0.017137064, 0.01910391, -0.03...\n",
      "3        1  [-0.023073137, 0.024521964, 0.07881488, 0.0558...\n",
      "4        1  [0.09181445, 0.030784324, -0.028941356, -0.016...\n",
      "...    ...                                                ...\n",
      "2063     4  [-0.0017295582, 0.00580514, 0.015104758, 0.022...\n",
      "2064     4  [-0.020374442, -0.023320988, -0.0066952184, 0....\n",
      "2065     4  [0.006862265, 0.004533185, -9.205535e-05, 0.00...\n",
      "2066     4  [0.14210652, 0.23971367, 0.20274945, 0.4468968...\n",
      "2067     4  [-0.017812617, -0.02699486, -0.012363306, -0.0...\n",
      "\n",
      "[2068 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "filtered_df = hepsi_df[['label', 'Data']]\n",
    "\n",
    "# Sonucu göster\n",
    "print(filtered_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>Data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>[-0.13182852, -0.14510787, -0.003021273, 0.085...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>[0.084993385, 0.041818485, -0.030503359, -0.03...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>[0.00076761027, 0.017137064, 0.01910391, -0.03...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>[-0.023073137, 0.024521964, 0.07881488, 0.0558...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>[0.09181445, 0.030784324, -0.028941356, -0.016...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2063</th>\n",
       "      <td>4</td>\n",
       "      <td>[-0.0017295582, 0.00580514, 0.015104758, 0.022...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2064</th>\n",
       "      <td>4</td>\n",
       "      <td>[-0.020374442, -0.023320988, -0.0066952184, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>4</td>\n",
       "      <td>[0.006862265, 0.004533185, -9.205535e-05, 0.00...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2066</th>\n",
       "      <td>4</td>\n",
       "      <td>[0.14210652, 0.23971367, 0.20274945, 0.4468968...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2067</th>\n",
       "      <td>4</td>\n",
       "      <td>[-0.017812617, -0.02699486, -0.012363306, -0.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2068 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     label                                               Data\n",
       "0        1  [-0.13182852, -0.14510787, -0.003021273, 0.085...\n",
       "1        1  [0.084993385, 0.041818485, -0.030503359, -0.03...\n",
       "2        1  [0.00076761027, 0.017137064, 0.01910391, -0.03...\n",
       "3        1  [-0.023073137, 0.024521964, 0.07881488, 0.0558...\n",
       "4        1  [0.09181445, 0.030784324, -0.028941356, -0.016...\n",
       "...    ...                                                ...\n",
       "2063     4  [-0.0017295582, 0.00580514, 0.015104758, 0.022...\n",
       "2064     4  [-0.020374442, -0.023320988, -0.0066952184, 0....\n",
       "2065     4  [0.006862265, 0.004533185, -9.205535e-05, 0.00...\n",
       "2066     4  [0.14210652, 0.23971367, 0.20274945, 0.4468968...\n",
       "2067     4  [-0.017812617, -0.02699486, -0.012363306, -0.0...\n",
       "\n",
       "[2068 rows x 2 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>Data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>[-0.13182852, -0.14510787, -0.003021273, 0.085...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>[0.084993385, 0.041818485, -0.030503359, -0.03...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>[0.00076761027, 0.017137064, 0.01910391, -0.03...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>[-0.023073137, 0.024521964, 0.07881488, 0.0558...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>[0.09181445, 0.030784324, -0.028941356, -0.016...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2063</th>\n",
       "      <td>4</td>\n",
       "      <td>[-0.0017295582, 0.00580514, 0.015104758, 0.022...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2064</th>\n",
       "      <td>4</td>\n",
       "      <td>[-0.020374442, -0.023320988, -0.0066952184, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>4</td>\n",
       "      <td>[0.006862265, 0.004533185, -9.205535e-05, 0.00...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2066</th>\n",
       "      <td>4</td>\n",
       "      <td>[0.14210652, 0.23971367, 0.20274945, 0.4468968...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2067</th>\n",
       "      <td>4</td>\n",
       "      <td>[-0.017812617, -0.02699486, -0.012363306, -0.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2068 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     label                                               Data\n",
       "0        1  [-0.13182852, -0.14510787, -0.003021273, 0.085...\n",
       "1        1  [0.084993385, 0.041818485, -0.030503359, -0.03...\n",
       "2        1  [0.00076761027, 0.017137064, 0.01910391, -0.03...\n",
       "3        1  [-0.023073137, 0.024521964, 0.07881488, 0.0558...\n",
       "4        1  [0.09181445, 0.030784324, -0.028941356, -0.016...\n",
       "...    ...                                                ...\n",
       "2063     4  [-0.0017295582, 0.00580514, 0.015104758, 0.022...\n",
       "2064     4  [-0.020374442, -0.023320988, -0.0066952184, 0....\n",
       "2065     4  [0.006862265, 0.004533185, -9.205535e-05, 0.00...\n",
       "2066     4  [0.14210652, 0.23971367, 0.20274945, 0.4468968...\n",
       "2067     4  [-0.017812617, -0.02699486, -0.012363306, -0.0...\n",
       "\n",
       "[2068 rows x 2 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import DataLoader, Dataset\n",
    "import numpy as np\n",
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# sesler in süresi farklı padding yapıcaz."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# birinci yol  mffccler dizi olarak ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AudioDataset(Dataset):\n",
    "    def __init__(self,data,labels,sr=22050,n_mfcc=66):\n",
    "        self.labels=labels\n",
    "        self.data=data\n",
    "        self.sr=sr\n",
    "        self.n_mfcc=n_mfcc\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.data)\n",
    "    \n",
    "    def __getitem__(self, idx):\n",
    "        audio_data = self.data[idx]\n",
    "\n",
    "\n",
    "        audio_data=np.array(audio_data,dtype=np.float32)\n",
    "    \n",
    "        mfccs = librosa.feature.mfcc(y=audio_data, sr=self.sr, n_mfcc=self.n_mfcc)\n",
    "\n",
    "        mfccs_mean = np.mean(mfccs, axis=1)\n",
    "        \n",
    "        label = self.labels[idx]\n",
    "        \n",
    "        return torch.tensor(mfccs_mean, dtype=torch.float32), torch.tensor([label], dtype=torch.long)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "import torch\n",
    "from torch.utils.data import Subset, DataLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = AudioDataset(filtered_df[\"Data\"],filtered_df[\"label\"])\n",
    "\n",
    "labels=dataset.labels\n",
    "\n",
    "indices = list(range(len(dataset)))\n",
    "\n",
    " \n",
    "train_indices, test_indices = train_test_split(indices, test_size=0.2, stratify=labels)\n",
    " \n",
    "train_dataset = torch.utils.data.Subset(dataset, train_indices)\n",
    "test_dataset = torch.utils.data.Subset(dataset, test_indices)\n",
    "\n",
    " \n",
    "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n",
    "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_loader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_loader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\librosa\\core\\spectrum.py:266: UserWarning: n_fft=2048 is too large for input signal of length=728\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n",
      "torch.Size([32, 66])\n",
      "torch.Size([32, 1])\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[65], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m x,y \u001b[38;5;129;01min\u001b[39;00m train_loader:\n\u001b[0;32m      2\u001b[0m     \u001b[38;5;28mprint\u001b[39m(x\u001b[38;5;241m.\u001b[39mshape)\n\u001b[0;32m      3\u001b[0m     \u001b[38;5;28mprint\u001b[39m(y \u001b[38;5;241m.\u001b[39mshape)\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\utils\\data\\dataloader.py:630\u001b[0m, in \u001b[0;36m_BaseDataLoaderIter.__next__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    627\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sampler_iter \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    628\u001b[0m     \u001b[38;5;66;03m# TODO(https://github.com/pytorch/pytorch/issues/76750)\u001b[39;00m\n\u001b[0;32m    629\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reset()  \u001b[38;5;66;03m# type: ignore[call-arg]\u001b[39;00m\n\u001b[1;32m--> 630\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_next_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    631\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_yielded \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m    632\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dataset_kind \u001b[38;5;241m==\u001b[39m _DatasetKind\u001b[38;5;241m.\u001b[39mIterable \u001b[38;5;129;01mand\u001b[39;00m \\\n\u001b[0;32m    633\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_IterableDataset_len_called \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \\\n\u001b[0;32m    634\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_yielded \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_IterableDataset_len_called:\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\utils\\data\\dataloader.py:673\u001b[0m, in \u001b[0;36m_SingleProcessDataLoaderIter._next_data\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    671\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_next_data\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    672\u001b[0m     index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_next_index()  \u001b[38;5;66;03m# may raise StopIteration\u001b[39;00m\n\u001b[1;32m--> 673\u001b[0m     data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_dataset_fetcher\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfetch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# may raise StopIteration\u001b[39;00m\n\u001b[0;32m    674\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pin_memory:\n\u001b[0;32m    675\u001b[0m         data \u001b[38;5;241m=\u001b[39m _utils\u001b[38;5;241m.\u001b[39mpin_memory\u001b[38;5;241m.\u001b[39mpin_memory(data, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pin_memory_device)\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\utils\\data\\_utils\\fetch.py:50\u001b[0m, in \u001b[0;36m_MapDatasetFetcher.fetch\u001b[1;34m(self, possibly_batched_index)\u001b[0m\n\u001b[0;32m     48\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mauto_collation:\n\u001b[0;32m     49\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdataset, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__getitems__\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdataset\u001b[38;5;241m.\u001b[39m__getitems__:\n\u001b[1;32m---> 50\u001b[0m         data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdataset\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__getitems__\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpossibly_batched_index\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     51\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m     52\u001b[0m         data \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdataset[idx] \u001b[38;5;28;01mfor\u001b[39;00m idx \u001b[38;5;129;01min\u001b[39;00m possibly_batched_index]\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\utils\\data\\dataset.py:420\u001b[0m, in \u001b[0;36mSubset.__getitems__\u001b[1;34m(self, indices)\u001b[0m\n\u001b[0;32m    418\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdataset\u001b[38;5;241m.\u001b[39m__getitems__([\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindices[idx] \u001b[38;5;28;01mfor\u001b[39;00m idx \u001b[38;5;129;01min\u001b[39;00m indices])  \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[0;32m    419\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 420\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdataset[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindices[idx]] \u001b[38;5;28;01mfor\u001b[39;00m idx \u001b[38;5;129;01min\u001b[39;00m indices]\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\utils\\data\\dataset.py:420\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    418\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdataset\u001b[38;5;241m.\u001b[39m__getitems__([\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindices[idx] \u001b[38;5;28;01mfor\u001b[39;00m idx \u001b[38;5;129;01min\u001b[39;00m indices])  \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[0;32m    419\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 420\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m [\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdataset\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindices\u001b[49m\u001b[43m[\u001b[49m\u001b[43midx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m idx \u001b[38;5;129;01min\u001b[39;00m indices]\n",
      "Cell \u001b[1;32mIn[38], line 17\u001b[0m, in \u001b[0;36mAudioDataset.__getitem__\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m     12\u001b[0m audio_data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata[idx]\n\u001b[0;32m     15\u001b[0m audio_data\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39marray(audio_data,dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mfloat32)\n\u001b[1;32m---> 17\u001b[0m mfccs \u001b[38;5;241m=\u001b[39m \u001b[43mlibrosa\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfeature\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmfcc\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maudio_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mfcc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_mfcc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     19\u001b[0m mfccs_mean \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmean(mfccs, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m     21\u001b[0m label \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabels[idx]\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\librosa\\feature\\spectral.py:1989\u001b[0m, in \u001b[0;36mmfcc\u001b[1;34m(y, sr, S, n_mfcc, dct_type, norm, lifter, **kwargs)\u001b[0m\n\u001b[0;32m   1843\u001b[0m \u001b[38;5;124;03m\"\"\"Mel-frequency cepstral coefficients (MFCCs)\u001b[39;00m\n\u001b[0;32m   1844\u001b[0m \n\u001b[0;32m   1845\u001b[0m \u001b[38;5;124;03m.. warning:: If multi-channel audio input ``y`` is provided, the MFCC\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   1985\u001b[0m \u001b[38;5;124;03m>>> fig.colorbar(img2, ax=[ax[1]])\u001b[39;00m\n\u001b[0;32m   1986\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   1987\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m S \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m   1988\u001b[0m     \u001b[38;5;66;03m# multichannel behavior may be different due to relative noise floor differences between channels\u001b[39;00m\n\u001b[1;32m-> 1989\u001b[0m     S \u001b[38;5;241m=\u001b[39m power_to_db(melspectrogram(y\u001b[38;5;241m=\u001b[39my, sr\u001b[38;5;241m=\u001b[39msr, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs))\n\u001b[0;32m   1991\u001b[0m M: np\u001b[38;5;241m.\u001b[39mndarray \u001b[38;5;241m=\u001b[39m scipy\u001b[38;5;241m.\u001b[39mfftpack\u001b[38;5;241m.\u001b[39mdct(S, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m2\u001b[39m, \u001b[38;5;28mtype\u001b[39m\u001b[38;5;241m=\u001b[39mdct_type, norm\u001b[38;5;241m=\u001b[39mnorm)[\n\u001b[0;32m   1992\u001b[0m     \u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m, :n_mfcc, :\n\u001b[0;32m   1993\u001b[0m ]\n\u001b[0;32m   1995\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m lifter \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m   1996\u001b[0m     \u001b[38;5;66;03m# shape lifter for broadcasting\u001b[39;00m\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\librosa\\feature\\spectral.py:2130\u001b[0m, in \u001b[0;36mmelspectrogram\u001b[1;34m(y, sr, S, n_fft, hop_length, win_length, window, center, pad_mode, power, **kwargs)\u001b[0m\n\u001b[0;32m   2008\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmelspectrogram\u001b[39m(\n\u001b[0;32m   2009\u001b[0m     \u001b[38;5;241m*\u001b[39m,\n\u001b[0;32m   2010\u001b[0m     y: Optional[np\u001b[38;5;241m.\u001b[39mndarray] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   2020\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[0;32m   2021\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[0;32m   2022\u001b[0m     \u001b[38;5;124;03m\"\"\"Compute a mel-scaled spectrogram.\u001b[39;00m\n\u001b[0;32m   2023\u001b[0m \n\u001b[0;32m   2024\u001b[0m \u001b[38;5;124;03m    If a spectrogram input ``S`` is provided, then it is mapped directly onto\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   2128\u001b[0m \u001b[38;5;124;03m    >>> ax.set(title='Mel-frequency spectrogram')\u001b[39;00m\n\u001b[0;32m   2129\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 2130\u001b[0m     S, n_fft \u001b[38;5;241m=\u001b[39m \u001b[43m_spectrogram\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   2131\u001b[0m \u001b[43m        \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2132\u001b[0m \u001b[43m        \u001b[49m\u001b[43mS\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mS\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2133\u001b[0m \u001b[43m        \u001b[49m\u001b[43mn_fft\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mn_fft\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2134\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhop_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhop_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2135\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpower\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpower\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2136\u001b[0m \u001b[43m        \u001b[49m\u001b[43mwin_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwin_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2137\u001b[0m \u001b[43m        \u001b[49m\u001b[43mwindow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwindow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2138\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcenter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcenter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2139\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpad_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpad_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2140\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2142\u001b[0m     \u001b[38;5;66;03m# Build a Mel filter\u001b[39;00m\n\u001b[0;32m   2143\u001b[0m     mel_basis \u001b[38;5;241m=\u001b[39m filters\u001b[38;5;241m.\u001b[39mmel(sr\u001b[38;5;241m=\u001b[39msr, n_fft\u001b[38;5;241m=\u001b[39mn_fft, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\librosa\\core\\spectrum.py:2945\u001b[0m, in \u001b[0;36m_spectrogram\u001b[1;34m(y, S, n_fft, hop_length, power, win_length, window, center, pad_mode)\u001b[0m\n\u001b[0;32m   2939\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m y \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m   2940\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m ParameterError(\n\u001b[0;32m   2941\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInput signal must be provided to compute a spectrogram\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   2942\u001b[0m         )\n\u001b[0;32m   2943\u001b[0m     S \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m   2944\u001b[0m         np\u001b[38;5;241m.\u001b[39mabs(\n\u001b[1;32m-> 2945\u001b[0m             \u001b[43mstft\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   2946\u001b[0m \u001b[43m                \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2947\u001b[0m \u001b[43m                \u001b[49m\u001b[43mn_fft\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mn_fft\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2948\u001b[0m \u001b[43m                \u001b[49m\u001b[43mhop_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhop_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2949\u001b[0m \u001b[43m                \u001b[49m\u001b[43mwin_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwin_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2950\u001b[0m \u001b[43m                \u001b[49m\u001b[43mcenter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcenter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2951\u001b[0m \u001b[43m                \u001b[49m\u001b[43mwindow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwindow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2952\u001b[0m \u001b[43m                \u001b[49m\u001b[43mpad_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpad_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2953\u001b[0m \u001b[43m            \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2954\u001b[0m         )\n\u001b[0;32m   2955\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m power\n\u001b[0;32m   2956\u001b[0m     )\n\u001b[0;32m   2958\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m S, n_fft\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\librosa\\core\\spectrum.py:388\u001b[0m, in \u001b[0;36mstft\u001b[1;34m(y, n_fft, hop_length, win_length, window, center, dtype, pad_mode, out)\u001b[0m\n\u001b[0;32m    384\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m bl_s \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m0\u001b[39m, y_frames\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m], n_columns):\n\u001b[0;32m    385\u001b[0m     bl_t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmin\u001b[39m(bl_s \u001b[38;5;241m+\u001b[39m n_columns, y_frames\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m    387\u001b[0m     stft_matrix[\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m, bl_s \u001b[38;5;241m+\u001b[39m off_start : bl_t \u001b[38;5;241m+\u001b[39m off_start] \u001b[38;5;241m=\u001b[39m fft\u001b[38;5;241m.\u001b[39mrfft(\n\u001b[1;32m--> 388\u001b[0m         \u001b[43mfft_window\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43my_frames\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbl_s\u001b[49m\u001b[43m:\u001b[49m\u001b[43mbl_t\u001b[49m\u001b[43m]\u001b[49m, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m2\u001b[39m\n\u001b[0;32m    389\u001b[0m     )\n\u001b[0;32m    390\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m stft_matrix\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "for x,y in train_loader:\n",
    "    print(x.shape)\n",
    "    print(y .shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import DataLoader\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "if torch.cuda.is_available:\n",
    "    device=torch.device(\"cuda\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "device(type='cuda')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\librosa\\core\\spectrum.py:266: UserWarning: n_fft=2048 is too large for input signal of length=728\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [1/20], Loss: 0.4208\n",
      "Epoch [2/20], Loss: 0.1791\n",
      "Epoch [3/20], Loss: 0.1476\n",
      "Epoch [4/20], Loss: 0.1430\n",
      "Epoch [5/20], Loss: 0.1204\n",
      "Epoch [6/20], Loss: 0.1105\n",
      "Epoch [7/20], Loss: 0.1094\n",
      "Epoch [8/20], Loss: 0.1039\n",
      "Epoch [9/20], Loss: 0.0990\n",
      "Epoch [10/20], Loss: 0.1061\n",
      "Epoch [11/20], Loss: 0.0985\n",
      "Epoch [12/20], Loss: 0.0887\n",
      "Epoch [13/20], Loss: 0.0995\n",
      "Epoch [14/20], Loss: 0.1008\n",
      "Epoch [15/20], Loss: 0.0902\n",
      "Epoch [16/20], Loss: 0.0844\n",
      "Epoch [17/20], Loss: 0.0727\n",
      "Epoch [18/20], Loss: 0.0725\n",
      "Epoch [19/20], Loss: 0.0763\n",
      "Epoch [20/20], Loss: 0.0748\n",
      "Accuracy on test set: 93.72%\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    " \n",
    "class AudioClassifier(nn.Module):\n",
    "    def __init__(self, input_size, num_classes):\n",
    "        super(AudioClassifier, self).__init__()\n",
    "        self.fc1 = nn.Linear(input_size, 128)  # \n",
    "        self.relu = nn.ReLU()   \n",
    "        self.fc2 = nn.Linear(128, 64)   \n",
    "        self.fc3 = nn.Linear(64, num_classes)   \n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.fc1(x)\n",
    "        x = self.relu(x)\n",
    "        x = self.fc2(x)\n",
    "        x = self.relu(x)\n",
    "        x = self.fc3(x)\n",
    "        return x   \n",
    "\n",
    " \n",
    "input_size = 66   \n",
    "num_classes = len(set(dataset.labels))   \n",
    "model = AudioClassifier(input_size=input_size, num_classes=num_classes)\n",
    "\n",
    "model.to(device)\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.Adam(model.parameters(), lr=0.001)\n",
    "\n",
    " \n",
    "num_epochs = 20\n",
    "for epoch in range(num_epochs):\n",
    "    model.train()\n",
    "    running_loss = 0.0\n",
    "    for inputs, labels in train_loader:\n",
    "        inputs,labels =inputs.to(device),labels.to(device)\n",
    "        optimizer.zero_grad()  \n",
    "        outputs = model(inputs)   \n",
    "        loss = criterion(outputs, labels.squeeze().long())   \n",
    "        loss.backward()  \n",
    "        optimizer.step()   \n",
    "\n",
    "        running_loss += loss.item()\n",
    "\n",
    "    print(f\"Epoch [{epoch+1}/{num_epochs}], Loss: {running_loss/len(train_loader):.4f}\")\n",
    " \n",
    "model.eval()\n",
    "correct = 0\n",
    "total = 0\n",
    "with torch.no_grad():\n",
    "    for inputs, labels in test_loader:\n",
    "        inputs,labels=inputs.to(device),labels.to(device)\n",
    "        outputs = model(inputs)\n",
    "        _, predicted = torch.max(outputs.data, 1)\n",
    "        total += labels.size(0)\n",
    "        correct += (predicted == labels.squeeze()).sum().item()\n",
    "\n",
    "    print(f\"Accuracy on test set: {100 * correct / total:.2f}%\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [1/10], Loss: 0.0694\n",
      "Epoch [2/10], Loss: 0.0610\n",
      "Epoch [3/10], Loss: 0.0849\n",
      "Epoch [4/10], Loss: 0.0574\n",
      "Epoch [5/10], Loss: 0.0614\n",
      "Epoch [6/10], Loss: 0.0667\n",
      "Epoch [7/10], Loss: 0.0503\n",
      "Epoch [8/10], Loss: 0.0723\n",
      "Epoch [9/10], Loss: 0.0551\n",
      "Epoch [10/10], Loss: 0.0456\n",
      "Accuracy on test set: 95.65%\n"
     ]
    }
   ],
   "source": [
    "num_epochs = 10\n",
    "for epoch in range(num_epochs):\n",
    "    model.train()\n",
    "    running_loss = 0.0\n",
    "    for inputs, labels in train_loader:\n",
    "        inputs,labels =inputs.to(device),labels.to(device)\n",
    "        optimizer.zero_grad()  \n",
    "        outputs = model(inputs)   \n",
    "        loss = criterion(outputs, labels.squeeze().long())   \n",
    "        loss.backward()  \n",
    "        optimizer.step()   \n",
    "\n",
    "        running_loss += loss.item()\n",
    "\n",
    "    print(f\"Epoch [{epoch+1}/{num_epochs}], Loss: {running_loss/len(train_loader):.4f}\")\n",
    " \n",
    "model.eval()\n",
    "correct = 0\n",
    "total = 0\n",
    "with torch.no_grad():\n",
    "    for inputs, labels in test_loader:\n",
    "        inputs,labels=inputs.to(device),labels.to(device)\n",
    "        outputs = model(inputs)\n",
    "        _, predicted = torch.max(outputs.data, 1)\n",
    "        total += labels.size(0)\n",
    "        correct += (predicted == labels.squeeze()).sum().item()\n",
    "\n",
    "    print(f\"Accuracy on test set: {100 * correct / total:.2f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "mat1 and mat2 shapes cannot be multiplied (16x66 and 2068x128)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[46], line 6\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m inputs, target \u001b[38;5;129;01min\u001b[39;00m dataloader:\n\u001b[0;32m      5\u001b[0m     optimizer\u001b[38;5;241m.\u001b[39mzero_grad()  \u001b[38;5;66;03m# Gradyanı sıfırla\u001b[39;00m\n\u001b[1;32m----> 6\u001b[0m     outputs \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# Modelden çıkışı al\u001b[39;00m\n\u001b[0;32m      7\u001b[0m     loss \u001b[38;5;241m=\u001b[39m criterion(outputs, target)  \u001b[38;5;66;03m# Kayıp hesapla\u001b[39;00m\n\u001b[0;32m      8\u001b[0m     loss\u001b[38;5;241m.\u001b[39mbackward()  \u001b[38;5;66;03m# Gradyanı hesapla\u001b[39;00m\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\nn\\modules\\module.py:1553\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1551\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m   1552\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1553\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\nn\\modules\\module.py:1562\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1557\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[0;32m   1558\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[0;32m   1559\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[0;32m   1560\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[0;32m   1561\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[1;32m-> 1562\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m forward_call(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1564\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m   1565\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
      "Cell \u001b[1;32mIn[42], line 9\u001b[0m, in \u001b[0;36mSimpleNN.forward\u001b[1;34m(self, x)\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, x):\n\u001b[1;32m----> 9\u001b[0m     x \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mrelu(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfc1\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m     10\u001b[0m     x \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mrelu(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfc2(x))\n\u001b[0;32m     11\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfc3(x)\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\nn\\modules\\module.py:1553\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1551\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m   1552\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1553\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\nn\\modules\\module.py:1562\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1557\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[0;32m   1558\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[0;32m   1559\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[0;32m   1560\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[0;32m   1561\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[1;32m-> 1562\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m forward_call(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1564\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m   1565\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
      "File \u001b[1;32mc:\\Users\\ninja\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\nn\\modules\\linear.py:117\u001b[0m, in \u001b[0;36mLinear.forward\u001b[1;34m(self, input)\u001b[0m\n\u001b[0;32m    116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28minput\u001b[39m: Tensor) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Tensor:\n\u001b[1;32m--> 117\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mF\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlinear\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mweight\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbias\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mRuntimeError\u001b[0m: mat1 and mat2 shapes cannot be multiplied (16x66 and 2068x128)"
     ]
    }
   ],
   "source": [
    "\n",
    "# Eğitme döngüsü\n",
    "num_epochs = 10\n",
    "for epoch in range(num_epochs):\n",
    "    for inputs, target in dataloader:\n",
    "        optimizer.zero_grad()  # Gradyanı sıfırla\n",
    "        outputs = model(inputs)  # Modelden çıkışı al\n",
    "        loss = criterion(outputs, target)  # Kayıp hesapla\n",
    "        loss.backward()  # Gradyanı hesapla\n",
    "        optimizer.step()  # Ağı güncelle\n",
    "\n",
    "    print(f\"Epoch [{epoch + 1}/{num_epochs}], Loss: {loss.item():.4f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}