Lab3 (1).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Lab3",
      "provenance": [],
      "collapsed_sections": []
    },
    "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": "3.8.8"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pkbisitECGkI"
      },
      "source": [
        "# Mfundo Monchwe\n",
        "# Taryn Michael"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yDkmEv-dW1OG"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "id": "LQiPKWbjLaoq",
        "outputId": "b132301a-fed3-4ad9-e0f8-1bc5b4358143"
      },
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-1e32b736-058e-4c65-94a9-b2733e2ef8b7\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-1e32b736-058e-4c65-94a9-b2733e2ef8b7\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving sample_annotation.csv to sample_annotation.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dpeIc7DJNd2h"
      },
      "source": [
        "from google.colab import drive"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 718
        },
        "id": "GJr3geErNhQR",
        "outputId": "76881f06-ff39-4aa4-d7dc-021fdde85fa7"
      },
      "source": [
        "uploaded2 = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-6a3308a0-fd46-4e82-a125-1889657e4e7c\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-6a3308a0-fd46-4e82-a125-1889657e4e7c\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_ME_CH12.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_ME_CH12.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_SE_CH34.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_SE_CH34.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_63533_M_D_CL_ME_CH12.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_63533_M_D_CL_ME_CH12.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_63533_M_D_CL_SE_CH34.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_63533_M_D_CL_SE_CH34.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_ME_CH12.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_ME_CH12.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_SE_CH34.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_SE_CH34.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_363266_M_D_MR_ME_CH12.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_363266_M_D_MR_ME_CH12.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_363266_M_D_MR_SE_CH34.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_363266_M_D_MR_SE_CH34.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_ME_CH12.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_ME_CH12.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_SE_CH34.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_SE_CH34.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_ME_CH12.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_ME_CH12.mp3\n",
            "Saving 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_SE_CH34.mp3 to 2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_SE_CH34.mp3\n",
            "Saving 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_1026413_A_D_TR_ME_CH12.mp3 to 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_1026413_A_D_TR_ME_CH12.mp3\n",
            "Saving 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_1026413_A_D_TR_SE_CH34.mp3 to 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_1026413_A_D_TR_SE_CH34.mp3\n",
            "Saving 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8198400_SE_CH34-BG.mp3 to 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8198400_SE_CH34-BG.mp3\n",
            "Saving 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_ME_CH12-BG.mp3 to 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_ME_CH12-BG.mp3\n",
            "Saving 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_SE_CH34-BG.mp3 to 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_SE_CH34-BG.mp3\n",
            "Saving 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8390400_ME_CH12-BG.mp3 to 2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8390400_ME_CH12-BG.mp3\n",
            "Saving 2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_ME_CH12.mp3 to 2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_ME_CH12.mp3\n",
            "Saving 2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_SE_CH34.mp3 to 2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_SE_CH34.mp3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yrEN3N6jVj23"
      },
      "source": [
        "import IPython"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TVAUZvXiWMkO"
      },
      "source": [
        "#### i: listen to a sample recording and then guess which class it belongs to"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "oUv7fRF9Vj6G",
        "outputId": "c3a88df8-46fc-4d7a-e96c-fa8e91de38bd"
      },
      "source": [
        "IPython.display.Audio('2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_ME_CH12.mp3')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/mpeg\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lpXbvhx4WY--"
      },
      "source": [
        "#### i: Guess - This sample recording belongs to the `Background` class"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FUf7_AuUVj9B"
      },
      "source": [
        "rec_df = pd.read_csv('sample_annotation.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iK3_-zxKXdut",
        "outputId": "022619a3-8268-43d1-cf4c-f9dd6252489f"
      },
      "source": [
        "rec_df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 20 entries, 0 to 19\n",
            "Data columns (total 13 columns):\n",
            " #   Column            Non-Null Count  Dtype \n",
            "---  ------            --------------  ----- \n",
            " 0   Unnamed: 0        20 non-null     int64 \n",
            " 1   file              20 non-null     object\n",
            " 2   is_background     20 non-null     bool  \n",
            " 3   date_time         20 non-null     object\n",
            " 4   location          20 non-null     object\n",
            " 5   speed_kmh         20 non-null     int64 \n",
            " 6   sample_pos        20 non-null     int64 \n",
            " 7   daytime           20 non-null     object\n",
            " 8   weather           20 non-null     object\n",
            " 9   vehicle           20 non-null     object\n",
            " 10  source_direction  20 non-null     object\n",
            " 11  microphone        20 non-null     object\n",
            " 12  channel           20 non-null     object\n",
            "dtypes: bool(1), int64(3), object(9)\n",
            "memory usage: 2.0+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RAnToyxqZd0u"
      },
      "source": [
        "#### ii: verify the class of the recording you listened to in part i) above"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 134
        },
        "id": "yiyBfxmTXQc-",
        "outputId": "99d3d613-8202-4aa2-8a0c-49dd978284f7"
      },
      "source": [
        "with pd.option_context('display.max_colwidth', None):\n",
        "  display(rec_df.loc[rec_df['file'] == '2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_ME_CH12'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "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>Unnamed: 0</th>\n",
              "      <th>file</th>\n",
              "      <th>is_background</th>\n",
              "      <th>date_time</th>\n",
              "      <th>location</th>\n",
              "      <th>speed_kmh</th>\n",
              "      <th>sample_pos</th>\n",
              "      <th>daytime</th>\n",
              "      <th>weather</th>\n",
              "      <th>vehicle</th>\n",
              "      <th>source_direction</th>\n",
              "      <th>microphone</th>\n",
              "      <th>channel</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>395</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>41346</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>C</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Unnamed: 0  ... channel\n",
              "6         395  ...    CH12\n",
              "\n",
              "[1 rows x 13 columns]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "htYIsZIwZpyN"
      },
      "source": [
        "#### iii: repeat the process a few times."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w4AY6jtRaAtG"
      },
      "source": [
        "3 sample recordings to guess sound class "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "id": "7fyMH8mrVj_3",
        "outputId": "d161925b-9d03-4c81-9cd4-1e31a844420f"
      },
      "source": [
        "with pd.option_context('display.max_colwidth', None):\n",
        "  display(rec_df['file'].sample(3))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "9      2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_SE_CH34\n",
              "0     2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_ME_CH12\n",
              "16        2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_SE_CH34-BG\n",
              "Name: file, dtype: object"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "EURx1m85VkDM",
        "outputId": "7b6ebdcf-2a4c-42a1-dd7f-0dd9501ef390"
      },
      "source": [
        "IPython.display.Audio('2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_SE_CH34.mp3')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/mpeg\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3ljcelS2aeXG"
      },
      "source": [
        "`Guess:` ITS A CAR SOUND"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m7p3DZhGa3qk"
      },
      "source": [
        "`Verification`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 134
        },
        "id": "EDFyyNj8a2v1",
        "outputId": "7f51cba7-5782-4d5f-892d-e1f9d679eb79"
      },
      "source": [
        "with pd.option_context('display.max_colwidth', None):\n",
        "  display(rec_df.loc[rec_df['file'] == '2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_SE_CH34'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "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>Unnamed: 0</th>\n",
              "      <th>file</th>\n",
              "      <th>is_background</th>\n",
              "      <th>date_time</th>\n",
              "      <th>location</th>\n",
              "      <th>speed_kmh</th>\n",
              "      <th>sample_pos</th>\n",
              "      <th>daytime</th>\n",
              "      <th>weather</th>\n",
              "      <th>vehicle</th>\n",
              "      <th>source_direction</th>\n",
              "      <th>microphone</th>\n",
              "      <th>channel</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>386</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>360920</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>B</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Unnamed: 0  ... channel\n",
              "3         386  ...    CH34\n",
              "\n",
              "[1 rows x 13 columns]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "wqFx0u8waOJN",
        "outputId": "be200aaa-b581-4305-91ee-a0ec0f29198c"
      },
      "source": [
        "IPython.display.Audio('2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_ME_CH12-BG.mp3')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/mpeg\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4cH2DJpEaiad"
      },
      "source": [
        "`Guess:` Background"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-DfpNgdibM3-"
      },
      "source": [
        "`Verification`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 151
        },
        "id": "vo64WSPeboQd",
        "outputId": "2e09f668-f043-4757-9a61-323dba3636cf"
      },
      "source": [
        "with pd.option_context('display.max_colwidth', None):\n",
        "  display(rec_df.loc[rec_df['file'] == '2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_ME_CH12-BG'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "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>Unnamed: 0</th>\n",
              "      <th>file</th>\n",
              "      <th>is_background</th>\n",
              "      <th>date_time</th>\n",
              "      <th>location</th>\n",
              "      <th>speed_kmh</th>\n",
              "      <th>sample_pos</th>\n",
              "      <th>daytime</th>\n",
              "      <th>weather</th>\n",
              "      <th>vehicle</th>\n",
              "      <th>source_direction</th>\n",
              "      <th>microphone</th>\n",
              "      <th>channel</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>953</td>\n",
              "      <td>2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_ME_CH12-BG</td>\n",
              "      <td>True</td>\n",
              "      <td>2019-10-22-15-30</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>8294400</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Unnamed: 0  ... channel\n",
              "15         953  ...    CH12\n",
              "\n",
              "[1 rows x 13 columns]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "XM7Fk2WTaPHc",
        "outputId": "c47621e8-f27b-4bea-d3d7-d86af9b0f779"
      },
      "source": [
        "IPython.display.Audio('2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_SE_CH34.mp3')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/mpeg\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h-PYNJiYamPk"
      },
      "source": [
        "`Guess:` motorcylce"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fCkUvG9vbR58"
      },
      "source": [
        "`Verification`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49
        },
        "id": "kjrI30c5b3Gc",
        "outputId": "6bce6a5d-363f-4c7f-f2c5-d7845261a434"
      },
      "source": [
        "with pd.option_context('display.max_colwidth', None):\n",
        "  display(rec_df.loc[rec_df['file'] == '2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_SE_CH34.mp3'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "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>Unnamed: 0</th>\n",
              "      <th>file</th>\n",
              "      <th>is_background</th>\n",
              "      <th>date_time</th>\n",
              "      <th>location</th>\n",
              "      <th>speed_kmh</th>\n",
              "      <th>sample_pos</th>\n",
              "      <th>daytime</th>\n",
              "      <th>weather</th>\n",
              "      <th>vehicle</th>\n",
              "      <th>source_direction</th>\n",
              "      <th>microphone</th>\n",
              "      <th>channel</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [Unnamed: 0, file, is_background, date_time, location, speed_kmh, sample_pos, daytime, weather, vehicle, source_direction, microphone, channel]\n",
              "Index: []"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qjXsumrncGJF"
      },
      "source": [
        "#### Do you think it will be possible to create an audio classifier for vehicle categories?\n",
        "\n",
        "Yes, a computer will be capable of distinguishing the different five audio classes - Bus, Car, Motorcycle, Truck, Background"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ug0sMzHbcp1l"
      },
      "source": [
        "#### What do you think are some reasons for misclassification?\n",
        "- Sound frequency \n",
        "- Audio quality \n",
        "- Dataset sample (insufficient number of samples)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SiXHl1gEc5v-"
      },
      "source": [
        "#### iv: select a random recording from each class and generate its melspectrogram so as to compare different vehicle signatures."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "JXJVjWfhgf4a",
        "outputId": "66935573-ea06-4bd8-cb1c-8aa8117a627c"
      },
      "source": [
        "with pd.option_context('display.max_colwidth', None):\n",
        "  display(rec_df)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "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>Unnamed: 0</th>\n",
              "      <th>file</th>\n",
              "      <th>is_background</th>\n",
              "      <th>date_time</th>\n",
              "      <th>location</th>\n",
              "      <th>speed_kmh</th>\n",
              "      <th>sample_pos</th>\n",
              "      <th>daytime</th>\n",
              "      <th>weather</th>\n",
              "      <th>vehicle</th>\n",
              "      <th>source_direction</th>\n",
              "      <th>microphone</th>\n",
              "      <th>channel</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>52</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>1272258</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>B</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>53</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>1272258</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>B</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>385</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>360920</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>B</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>386</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_360920_M_D_BR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>360920</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>B</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>387</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_363266_M_D_MR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>363266</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>M</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>388</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_363266_M_D_MR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>363266</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>M</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>395</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>41346</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>C</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>396</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_41346_M_D_CR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>41346</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>C</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>405</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>461186</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>M</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>406</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>461186</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>M</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>459</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_63533_M_D_CL_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>63533</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>C</td>\n",
              "      <td>L</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>460</td>\n",
              "      <td>2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_63533_M_D_CL_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-08-40</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>63533</td>\n",
              "      <td>M</td>\n",
              "      <td>D</td>\n",
              "      <td>C</td>\n",
              "      <td>L</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>563</td>\n",
              "      <td>2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_1026413_A_D_TR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-15-30</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>1026413</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>T</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>564</td>\n",
              "      <td>2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_1026413_A_D_TR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-15-30</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>1026413</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>T</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>952</td>\n",
              "      <td>2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8198400_SE_CH34-BG</td>\n",
              "      <td>True</td>\n",
              "      <td>2019-10-22-15-30</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>8198400</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>953</td>\n",
              "      <td>2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_ME_CH12-BG</td>\n",
              "      <td>True</td>\n",
              "      <td>2019-10-22-15-30</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>8294400</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>954</td>\n",
              "      <td>2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8294400_SE_CH34-BG</td>\n",
              "      <td>True</td>\n",
              "      <td>2019-10-22-15-30</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>8294400</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>955</td>\n",
              "      <td>2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8390400_ME_CH12-BG</td>\n",
              "      <td>True</td>\n",
              "      <td>2019-10-22-15-30</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>8390400</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>1093</td>\n",
              "      <td>2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_ME_CH12</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-16-35</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>1620120</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>T</td>\n",
              "      <td>R</td>\n",
              "      <td>ME</td>\n",
              "      <td>CH12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>1094</td>\n",
              "      <td>2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_SE_CH34</td>\n",
              "      <td>False</td>\n",
              "      <td>2019-10-22-16-35</td>\n",
              "      <td>Fraunhofer-IDMT</td>\n",
              "      <td>30</td>\n",
              "      <td>1620120</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>T</td>\n",
              "      <td>R</td>\n",
              "      <td>SE</td>\n",
              "      <td>CH34</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Unnamed: 0  ... channel\n",
              "0           52  ...    CH12\n",
              "1           53  ...    CH34\n",
              "2          385  ...    CH12\n",
              "3          386  ...    CH34\n",
              "4          387  ...    CH12\n",
              "5          388  ...    CH34\n",
              "6          395  ...    CH12\n",
              "7          396  ...    CH34\n",
              "8          405  ...    CH12\n",
              "9          406  ...    CH34\n",
              "10         459  ...    CH12\n",
              "11         460  ...    CH34\n",
              "12         563  ...    CH12\n",
              "13         564  ...    CH34\n",
              "14         952  ...    CH34\n",
              "15         953  ...    CH12\n",
              "16         954  ...    CH34\n",
              "17         955  ...    CH12\n",
              "18        1093  ...    CH12\n",
              "19        1094  ...    CH34\n",
              "\n",
              "[20 rows x 13 columns]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uMk-nlHVd01k"
      },
      "source": [
        "import librosa\n",
        "import librosa.display"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oQLXqc5pdFoc"
      },
      "source": [
        "# set parameters \n",
        "winlen_ms = 120 \n",
        "overlap = 0.5 \n",
        "sampling_rate = 22050 # use a lower sampling rate \n",
        "num_mels = 32\n",
        "\n",
        "# get the window length in samples \n",
        "win_len = int((winlen_ms * sampling_rate) / 1000) \n",
        "hop_len = int(win_len * (1 - overlap)) \n",
        "nfft = int(2 ** np.ceil(np.log2(win_len)))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "31bAwgSSgo_j",
        "outputId": "17cb58a4-4f02-4f07-a8a3-a3c12b2e3ced"
      },
      "source": [
        "truck_ms, sr = librosa.load('2019-10-22-16-35_Fraunhofer-IDMT_30Kmh_1620120_A_D_TR_SE_CH34.mp3')\n",
        "background_ms, sr = librosa.load('2019-10-22-15-30_Fraunhofer-IDMT_30Kmh_8390400_ME_CH12-BG.mp3')\n",
        "bus_ms, sr = librosa.load('2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_1272258_M_D_BR_ME_CH12.mp3')\n",
        "car_ms, sr = librosa.load('2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_63533_M_D_CL_ME_CH12.mp3')\n",
        "motorcycle_ms, sr = librosa.load('2019-10-22-08-40_Fraunhofer-IDMT_30Kmh_461186_M_D_MR_SE_CH34.mp3')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py:165: UserWarning: PySoundFile failed. Trying audioread instead.\n",
            "  warnings.warn(\"PySoundFile failed. Trying audioread instead.\")\n",
            "/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py:165: UserWarning: PySoundFile failed. Trying audioread instead.\n",
            "  warnings.warn(\"PySoundFile failed. Trying audioread instead.\")\n",
            "/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py:165: UserWarning: PySoundFile failed. Trying audioread instead.\n",
            "  warnings.warn(\"PySoundFile failed. Trying audioread instead.\")\n",
            "/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py:165: UserWarning: PySoundFile failed. Trying audioread instead.\n",
            "  warnings.warn(\"PySoundFile failed. Trying audioread instead.\")\n",
            "/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py:165: UserWarning: PySoundFile failed. Trying audioread instead.\n",
            "  warnings.warn(\"PySoundFile failed. Trying audioread instead.\")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "SXdIF_XVjRJb",
        "outputId": "949ee497-1727-429b-e50b-f127676cf351"
      },
      "source": [
        "truck_S = librosa.feature.melspectrogram(truck_ms, sr=sampling_rate, n_fft=nfft, hop_length=hop_len, n_mels=num_mels, win_length=win_len)\n",
        "truck_S_DB = librosa.power_to_db(truck_S, ref=np.max)\n",
        "librosa.display.specshow(truck_S_DB, sr=sampling_rate, x_axis='time', y_axis='mel');\n",
        "plt.colorbar();\n",
        "plt.title('Truck');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Xu/udRdk/A08D/q6FdRcRqZ8DM511dF+Plp0BuPuF7r7Z3bdQyVL3VXf/dSrX919ezPYq4LMAZrbOzObqcyHwseL5d6g0GscUr8+iEusqItIZvL5OYG3KGFq3xegH8DbgEjP7I+A6Hj2Sfw7wx2bmwNeBCwDcfdbMfhf4SnET+Vrgb7M36TNj4+DAgmXZPlg7GLeLWSTMcJAYazQZcjGLVJnIwi0Sm4fj5e8fjz97NuxhZHQoXveuifj82JLoq2TURA4lR2ir++PlJ2fj9+9LksUdCAJ1skiXLEpnXzxqYhodtj75JZhOEt1Fw10C7AuiiNYOJvs12e9j/fG2OTCdfDEeiovr1mGXd+rRlgbA3a8Criqe38kCaUrd/VIejQ6aX3YFcEbraigi0qDOOrivi3oCi4g0yts2IExTqQEQEWkGXQISEelCDt6OgWeaTA2AiEiDlmoqCDUAIiKNcnQJqJP0lowNNcIO18fD7qayUM3hnto3g6JxYQFGe+NvUXafaSIJ1xvMxrUdaCwZXRQi+3CSUGx18t77k1DHLFlcUpyGuA72ZWMCx+uPDAXfGYhDiwE2DMXjWOfjKcczHEgSth1OQmyz8OfIYLJtZjwZJ7u3PTdnGxzvfVEs2wZARKSddAlIRKQb6RKQiEj3KqcDMHYeNQAiIo1yILn/1onUAIiINEhhoB1mtLfMM9YtHDayojfusTHYE5/Ljc/Gm+3gTO2QjYnZODHV5uGJsHzfVBztMVGO19+XRLpMJxEVWRRS2Wu//7qFc/M9YmUSZTOZDJs4kuy3LEgjit4CGG8wGdze6SSUJzCc/KXumYz3+/4kAqs/qXuSiy5NpLc3iODKonyyz15Owm+SkUKbxPDkb6cTLdsGQESkbVxnACIiXcmBcnKG2InUAIiINMrBdRNYRKQ7qSewiEiX0k3gDjLUO8sZ6/YsWLZvPE4GNJvsyE2rDoTl00G0x/7JOBTmxI0Ph+W794yG5fcdGgnLM2sGkoQ7icNBBNTh2TgKZrQ3juLZn0TRDPXEd+Gy9x8sxcuPJOEkWYRVtHgaXRUXM9ITh+kMrojXsGsy27bx+w8m5RuHan/AQ0ka5ZEkSqjR/FnNoktAIiJdyF2XgEREupQxm/Tx6URqAEREGqUzABGR7uToJrCISNdSAyAi0qXKagA6h5lTqhE+tm7sULjs5FS8WbIu3z1BOOH6sYPhstNTSajiwHRYvq48HpbPJqFqB6fjrF7ZkJYr+mrXb83AZLhsNiRjj8UhtFndsvVn4b/DSZjoQ0mivihZXBaCeiAIrwUoJZ9tdV8cYjuVfC9GkxDYw8nfxNr+2u8/UIpvniajUaZJ+GbakKPH3ZQKQkSkW+kMQESkS+kegIhIF3J0BiAi0p18aZ4BLL2uayIiHahc56MRZvY+M/uemd1oZp8xs1VVZRea2XYzu93Mnl/P+pbtGUCp5IyOLhx1cvBgHE2y4fg42dvkgXizTYzXLrfkIGE2iSTIEk4NBVE4AOPTcaTKWH+cDG4iiUYZDBK69SZDNmZGkuEus0iYbNv3JZE4mfVDcQRWdIQ4WY6366akbvccHA7LNyZ1KzMUlh9K9vuqZDjPKFInOwpdl0S+zSRH3rOl1h+ZO8Zs8v1skiuAC919xszeC1wIvM3MTgXOA04DjgOuNLPHuXv4R9eyGpvZ8Wb2NTO71cxuMbM3FdPXmNkVZnZH8f/qecs9xcxmzOzlVdP+pFjHbWb2IbPsT1lEpL3cra5HY+/hX3b3ufypVwObi+fnApe4+6S73wVsB87M1tfKJmsGeIu7nwo8DbigaKXeDnzF3U8BvlK8BsDMeoD3Al+umvYM4JnAGcDpwFOAZ7ew3iIiR6zs9T2a6LeALxbPNwE/rCrbUUwLtewSkLvfB9xXPD9gZrcVFToXeE4x28XAVcDbite/A/wTlR/5R1YFDAL9gAF9wAOtqreIyJHyI7sJvM7Mrql6vc3dt829MLMrgY0LLHeRu3+2mOciKgfZnzjKKgNtugdgZluAJwHfAjYUjQPA/cCGYp5NwEuA51LVALj7N83sa1QaEwM+7O631Xif84HzATYPNzYwiojIkShTdwOw29231ip097Ojhc3s1cCLgOe5P5KDdCdwfNVsm4tpoZbftTCzUSpH9W929/3VZUXl5z7AnwNvc/fyvOUfC/wUlQ+0CTjLzJ610Hu5+zZ33+ruW9cOxKN+iYg009ygMNmjEWZ2DvBW4MXufriq6DLgPDMbMLOTgFOAb2fra+kZgJn1Ufnx/4S7f7qY/ICZHevu95nZscCDxfStwCXF/d11wAvNbIbKB7na3Q8W6/wi8HTg37L3r7Wxs0iaif3xZhkYSYYu3Fe78ckiBYYG4yicyekkT1FYCjPJoBVZPpw1w3E0yUww7OLBJFfOcH8c7TGWDFe5fzLOY7R6cCIsH+iPxyY8MB5Hj/U3kmsoGRZx1XBc99EkeuvgVLxtHrMizlG181AcZbQqef8obCOLLNufRK4dN3w4LD+YLN8MjjHjbYkC+jAwAFxR/FZe7e6vd/dbzOxTwK1Uvk0XZBFA0NooIAP+DrjN3T9QVXQZ8Kri+auAzwK4+0nuvsXdtwCXAr/t7v8M3As828x6iwbl2cCCl4BERBZLO84A3P2x7n68uz+xeLy+quzd7n6yuz/e3b8YrWdOK88Angm8ErjJzK4vpv0e8B7gU2b2WuAe4FeT9VwKnAXcROVy0Zfc/V9aU2URkSOnVBDzuPs3oOZdkecly7666vks8F+bVzMRkebz+m8Cd4xl2xNYRKRtmh/j3xZqAEREGuQYs+25CdxUddXYzJ5V9NKtnvazramSiMjSswg9gRtW7xnA5cB3zOxX3H0ubPOjQEc3AuUaIY8jNZLEzZmdidvFfbvjsLKpmdqbNQuznD0c91+YTsJIsyEf907FoYwr+uJwvqy340Bf7XjGLBlcFiJ7zDFxkr4Vh+JQx1IydGBfMGwhwGwSQju2Kg6R7e2vHaS7/6F4vw+Pxvsl+86OTsXf+d7eOID4uPX7wvID++P6Dw7WDvHdvS/utDncG8fIZuHDk0FocjMtxXsA9Z6z3A68D/jXIjcP1L7BKyLSVSpRQMv3DMDd/XNmdjvwSTP7GCQjcIuIdJGlGAZa7xmAAbj7HcDPFY8zWlUpEZGlxut8dJK6zgDc/UlVzw8Cv2pmJ7SsViIiS4h7PjBNJwobADP7C+JG643NrY6IyNK0FMcEzs4AqnNW/y/gHS2sS1PNzJbYu3/hYe76kmiUUk98orb7QJwYayAYFnH3eDz03tokYZklCcd2T8TrP3bkUFi+ZixOrJVFykTDYQ73xZEm/UNxtMfgMfHyQ+V423mSKc+SC6Jjp8Tbht74B6A0WHvb9N6bRBCNxeue2Z/l/YojZaYPxh++bzTeeANJMrmpQ7UjcVbNJAkG9ydRQsmQkfsn48i3ZnAaH+93MYQNgLtfPPfczN5c/VpERB7VaRE+9TiSnsBL8OOJiLSDLcl+AEoFISLSoLl+AEtNdhP4AI8e+Q+b2dyIXkalb8BYKysnIrJUZL38O1F2D2BFuyoiIrJUeQf28q3Hsr0END7Ty417Vi9YNpDkhJlIctKMJblJVgbD4/VYHCswleSbWT8WR/GsGIpzvmTDHg6OxBEVs9Nx/QaDSJ7+0fi9e5NhnMvxR6OUjPxXStY/G29asowyM7viSJy+DcG640AXSqPxu/cluXyyCKWBk+KfgtmH41xEJEFIpSB6bGBlEgGVfLYsMm1LEiXULLoHICLSpXQGICLShZZlPwAREck5y/AmsIiI1EeXgEREutQS/P1XAyAi0qhKRzBdAuoYJZzBnoVvy4wGydoAJibjoQVHg2EPAUaC8uw0cdVInNCsry+u+9CKOOQtSyY3sD4uP7Qj/pL3j9SuX3k6Xvbgg/HXceXJ8XbPQiWzjV8aisstS/YW5whMk9GFy07EC/eckHTZGU++FyPJcJobRsPy8n3xcJ3lqdphpFl478BQXPfeoSTJYDJMarPoDEBEpBupI5iISHeqRAEtdi2OnBoAEZGGGWX1BBYR6U6uMwARke6jnsAdxgx6a0S8WHK/flVfEnVQinf1xEztaJSeJBFdNtzkiRsfDsv7VyRfw2TYQ09yfmXDZfps7dPgniTKZtXxcYRTFkVTPpwM9TkYf/jeLSvD8pl794flpZE4Cqn3CetqF07E37nyw3HCtCzKxyfiCCqC4SoBmEgipFbHQ5H2BhfIZx6I6z762LCYqQfj8p6B9hya6yawiEiXWoK//2oAREQa5Q6zS/AaUHJB4OiZ2cfM7EEzu7lq2hozu8LM7ij+X11M/3Uzu9HMbjKz/zCzn5m3rh4zu87MPteq+oqINKJc56OTtKwBAP4eOGfetLcDX3H3U4CvFK8B7gKe7e4/DbwL2DZvuTcBt7WuqiIiR29uTOB6Hp2kZQ2Au38deGje5HOBi4vnFwO/XMz7H+4+d3fzamDz3AJmthn4ReCjraqriEijvM5HJ2n3PYAN7n5f8fx+YKFB8l4LfLHq9Z8DbwXS8YnN7HzgfIDjBkd5wtqFI2b2Ho7HBjwwHY8tWEp247qRwzXLRkbiMJsf7oojUR7cE2+Gdcm4hsOr4/efPpxEyiR5V4ZOrr3tfCpe1pLDESvFM5QPxlFANpKMGbkh3va2I44C6vmZTfH6D9SO5PGpJIJpbZJoaCD+bFkXJd8XRxlZb7JzVsb1KwUXyPsG4ugpWzEQlg8O1/57A5jZ1Z4hITvt6L4erbwEFHL3n2gQzey5VBqAtxWvXwQ86O7X1rnObe6+1d23ru2Pw9JERJplbkCYeh6dpN0NwANmdixA8f8jEbxmdgaVyzznuvueYvIzgReb2d3AJcBZZvYP7a2yiEhO9wBylwGvKp6/CvgsgJmdAHwaeKW7f39uZne/0N03u/sW4Dzgq+7+G+2tsohIrN7r/43+/pvZu4qIyevN7Mtmdlwx3czsQ2a2vSj/2XrW18ow0H8Evgk83sx2mNlrgfcAP29mdwBnF68B/gBYC/xl8cGuaVW9RESars6j/yacAbzP3c9w9ycCn6Py2wnwAuCU4nE+8Ff1rKxlN4Hd/RU1ip63wLyvA16XrO8q4KqGKyYi0gLehhgfd6+ORBjh0ZOKc4GPF/dWrzazVWZ2bFXQzYLUE1hEpEFz/QDqtG7eVY5t7j6/71NNZvZu4DeBfcBzi8mbgB9WzbajmKYGQESk1Y5gQJjd7r61VqGZXQlsXKDoInf/rLtfBFxkZhcCbwDecaR1naMGQESkCZo1HoC7n13nrJ8AvkClAdgJHF9VtrmYFlq2DcB0ucT9B0YWLNswGneWWjcWlw8mg1RPjNfulNPbH3f4OXZ1PLj2yMq4I9fA2riz1WySVTgz8sSFt+kcW1m7k930rfM7hv+40uq4M5Mnh1jZoPClTXFHr6ijFkDPCcny++LvTXlP7Q5LpWC7AZB0FPND8ffCNiZ1T9JJs3EsLn84/uwz9xysXZiEopR3TITl2Xd6+mDrgx3bNR6AmZ3i7ncUL88Fvlc8vwx4g5ldAjwV2Jdd/4dl3ACIiLRTm2L832Nmj6fS3twDvL6Y/gXghcB24DDwmnpWpgZARKRR3p4hId39ZTWmO3DBka5PDYCISIMqqSAWuxZHTg2AiEgTdFqu/3qoARARaZDjeDuuATWZGgARkSbotERv9VADICLSBEvw93/5NgA95owNLBwbPTUTf+yVq+PA4tGT4qt9I/tmapYd3h2/9/CKZMCWiTimebAU1234aWvi5e+P+yGQDQwS6Dt9XVhefiB+79JYMujJUDLgy1Tt/QJAf/LnsCIZY2Jl3EeidML62oU/2lO7DNK62+r4vdkXD5qSmoz7CZR3x/0AejfVHjAmGwyHPZNhsfXGP72Dj48HlOH/xMX1OMJUEB1j2TYAIiJt4zCrewAiIt1HZwAiIl1sCZ4AqAEQEWmG8hK8DawGQESkCXQGICLShdqVDbTZ1ACIiDTKYXYJ3gVWAyAi0qDKGYAagI7R01Nm1ejCHbr6kkFZ+gbjk7mZvfGOLgd9uQZXJ52RkvNIywbPiMfOoLwr7rAzuz+un++KO2v1ru+PKxCtO0unWLKw2H5qc66scz8AAA29SURBVLz83Q/E5WNJZ6oDSWeqUrJzsuUjg0knt2TbRIPRAJQfjjsg9o7E+7V0wup4/fc+XLPMZxr74exZGf+MTd7R4ChIddI9ABGRLuS4zgBERLqVzgBERLqQAzO+9OKA1ACIiDSB6xKQiEh3WnrH/2oAREQapjBQEZGupSEhO0rfCtjwnIVjo0vHrY0XzuK5s8E1HrOxdtnYaLzsoThm2W++Jy4/GMdzz2bx3lvG4vU/FH/20mNqD/pS3lE7FhygZ3Uy4MrIYFy+Z39cng34Mh4PPOIPxX0oSMotiqUfigct8YcOhuXlPQ/F7518pUsr4m3jSS/XuBdCrHwg7pdTnkp+WMvx8qVkPJhm0RmAiEgXcmCWZGSzDqQGQESkYUuzI9jRD/DaADO728xuMrPrzeyaYtqvmNktZlY2s61V8/68mV1bzH+tmZ21GHUWEall7iZwPY9OsphnAM91991Vr28GXgr8zbz5dgO/5O4/MrPTgcuBTW2qo4hIXcpLMBC0Yy4BufttAGY2f/p1VS9vAYbMbMDd4zt2IiJt47gtvQZgUS4BUTlj+nJxSef8I1juZcB3a/34m9n5ZnaNmV2z62CSFlNEpEl0CejI/Cd332lm64ErzOx77v71aAEzOw14L/ALteZx923ANoCtJxzTWVtaRJYxZ5Yk1XsHWpQzAHffWfz/IPAZ4MxofjPbXMz3m+7+g9bXUESkfg6UrVzXo5O0/QzAzEaAkrsfKJ7/AvCHwfyrgM8Db3f3f6/3fbzs+PjCLXL5R/vCZUvHxJ21fDbeifZwMGjK1HS4LIPJgCp9PWFxadPKsNxWxbdObDTpNZN8doZr17+0Iln3yuGkPOlEV07qlg3ZtybZdtmgLBPJvj35+Npl9++K3zvppFYaiY8+7YQ1YTm98feKFcm+mYg7GNqe2p3k+pLBZOhJjlOTupe3x9u2WZbiTeDFOAPYAHzDzG4Avg183t2/ZGYvMbMdwNOBz5vZ5cX8bwAeC/xBETZ6fXHpSESkQzjlOv91krafAbj7ncDPLDD9M1Qu88yf/kfAH7WhaiIiR8WpNAFLTceEgYqILF3OLMklwA6kBkBEpEGOd9wN3nqoARARaYKyksGJiHQj1z0AEZFu5EDZdQbQMXzSmbx74Zsy1hvfrMnGj/ADyaAr22sPTDKbjCky+Pg43rp8KK67leIBW8qH4y9p75YkHjzhO2sP+uKH4u1Wyvog3P1A/N4Hkj4OSf8Oov4bAKPJgDTZgDW7g0FbkkGIfCKJ898YD+TDZPy98R/tjZdnT7x8MhARpWDImION9U0p74jrXj7Qjh667T0DMLO3AO8HjnH33VZJovZB4IXAYeDV7v7dbD3LtgEQEWmf9kUBmdnxVDrQ3ls1+QXAKcXjqcBfFf+HFisZnIjIsjHXD6CeRxP8GfDW4m3nnAt83CuuBlaZ2bHZinQGICLSMMfrvwewbm4grMK2IpFlyszOBXa6+w3zUudvAn5Y9XpHMe2+aH1qAEREmuAI0jzsdvettQrN7Epg4wJFFwG/R5AR+UipARARaZjjTeoH4O5nLzTdzH4aOAmYO/rfDHzXzM4EdgLV2QY3F9NCagBERBrkgHtro4Dc/SbgkUSYZnY3sLWIAroMeIOZXULl5u8+dw8v/4AaABGRxrkz64uaC+gLVEJAt1MJA31NPQupARARaVj7ewK7+5aq5w5ccKTrWLYNQGnDKMNvftbChTvujxd+qHZHLgCOCzq1AD0rR4J1J52N1q+K1z0TX2f0M04Ny3u/mfQNWRt3KLKepKPY2mBwj2zZ6eQIak/SWWnjMXH5eDJOdFLua+J9Y5NxhyYfCDo0rY7XzelPiMu/dV383k99Urz8+Hhcnijdfmc8w3Dw2YeSDnT3x53QSlvj/V6KOqEBvCsurkc7LgG1wrJtAERE2qd5N4HbSQ2AiEgT6AxARKQLOc6styPnUHOpARARaQKdAYiIdCM/olQQHUMNgIhIE2hAGBGRruS6BNRRpqbh3h8d3bLHb4jL79gRl5+8uXZZ2WuXASSx5uyN+yjYvn3x8icfHxb7SDwgjR2KB5zxNbX7AfhQsu6dSeqS9Wvj8hUr4vJy/Afq65L19/fFyx+KR/uxoJ9B2eLM7Jb8pWZx/r5uXbyCmWTAmf3x98pP2RKvP9p2ff3xeyf9BHxFPNCPH3tcWN4M6gcgItK1nLKigEREupPOAEREupKDbgKLiHQh1xmAiEhXmhsTeKlRAyAi0jCFgYqIdCnHF3dAmKOiBkBEpCl0BtA5Zsuw9+DCZY+NO0PhSWet0x8Tl08H8cDHBAOmAJTiDkGMJZ1eepNdmgw84uuSQVUefDAsth1B57uNcQc7zwaMWRkPVkM2IMvwULx8su19IO6QZMlgPdGAM7Y3HuzG7o+3O6tXxsvfeGu8/HHr4/JDyYAxq5J989DDtcuSjlzsDpYFbCo+8ra7fhivvykcluAloOTXpnOY2TlmdruZbTezty92fUREqnmd/zrJkmgAzKwH+AjwAuBU4BVmFo99KCLSVuU6H51jSTQAwJnAdne/092ngEuAcxe5TiIihUoUUD2PTrJU7gFsAqov5O0Anjp/JjM7Hzi/eDlZ+rU/vbkNdcusA3arDoDqMZ/q8eMWqx4nNmEdl8NMknHvEZ2wrYGl0wDUxd23AdsAzOwad9+6yFXqiHp0Qh1UD9VjqdTjaLj7OYtdh6OxVC4B7QSqQ3c2F9NEROQoLZUG4DvAKWZ2kpn1A+cBly1ynURElrQlcQnI3WfM7A3A5UAP8DF3vyVZbFvra1aXTqhHJ9QBVI/5VI8f1yn16BrmWacnERFZlpbKJSAREWkyNQAiIl1qSTQAWRoIMxsws08W5d8ysy1VZRcW0283s+fXu86jrMfPmdl3zWzGzF4+r+xVZnZH8XhV1fQnm9lNxTo/ZGbWhHr8DzO71cxuNLOvmNmJVWXtrMfri3Veb2bfqO693c79UjXfy8zMzWxr1bR2fj9ebWa7iu1xvZm9rqqsbfulmOdXi+/ILWb2f5tdjzq2xZ9VbYfvm9neqrKmbQtJuHtHP6jc9P0B8BigH7gBOHXePL8N/HXx/Dzgk8XzU4v5B4CTivX01LPOo6zHFuAM4OPAy6umrwHuLP5fXTxfXZR9G3gaYMAXgRc0oR7PBYaL5/+tanu0ux5jVc9fDHxpMfZLMd8K4OvA1cDWRfp+vBr48ALLtnu/nAJcV/Ue65tZjyPdfsDvUAnsaOq20CN/LIUzgHrSQJwLXFw8vxR4XnF0cC5wibtPuvtdwPZifUeTWiJdxt3vdvcb+cmEH88HrnD3h9z9YeAK4BwzO5bKj+TVXvmGfxz45SbU42vufrh4eTWVfhOLUY/9VS9H4JFMWG3dL4V3Ae8FqlNyLkY9FtLW/QL8F+AjxXvh7nOpRptVjyPdFq8A/rEF20ISS6EBWCgNxKZa87j7DLAPWBssW886j6YeR7rspuJ5K+vxWipHS4tSDzO7wMx+APwJ8MY66tH0/WJmPwsc7+6fr3PZVn4/XlZcmrvUzOY6N7Z7vzwOeJyZ/buZXW1m5yTLHmk96t5+xeXJk4CvNrkOUoel0ADIUTKz3wC2Au9brDq4+0fc/WTgbcDvt/v9zawEfAB4S7vfewH/Amxx9zOoHNlenMzfKr1ULgM9h8rR99+aWTxQROucB1zq7slgCtIKS6EBqCcNxCPzmFkvsBLYEyx7NKklGklHEdVj8wLTG66HmZ0NXAS82N0nk2VbVo8ql/DoKXs798sK4HTgKjO7m8o15MuKG8Ft/X64+56qffFR4MnJsq3aLzuAy9x9urj09X0qDUKz6nEk2+88Hr38Ey17NNtCMot9EyJ7UDlauZPKaeLcDaXT5s1zAT9+E/hTxfPT+PGbfHdSuUGVrvNo6lE179/zkzeB76JyU2t18XxNUTb/xtYLm7A9nkTlJtwp86a3ux6nVD3/JeCaxdwvxfxX8ehN4LbWAzi26vlLgKsXab+cA1xcPF9H5ZLL2mbVo97tBzwBuJuiQ2qzt4Ue+WPRK1BXJeGFVI5SfgBcVEz7QypHtwCDwP+jchPv28Bjqpa9qFjudqqiBhZaZxPq8RQqR1eHqJyB3FK17G8V9dsOvKZq+lbg5mKdH67+Y2igHlcCDwDXF4/LFqkeHwRuKerwteofgXbul3nzXkXRACzC9+OPi+1xQ7E9nrBI+8WoXBa7FbgJOK/Z9ahnnwDvBN6zwLJN2xZ6xA+lghAR6VJL4R6AiIi0gBoAEZEupQZARKRLqQEQEelSagBERLqUGgBZssxsbVVGyfvNbGfx/KCZ/eVi10+k0ykMVJYFM3sncNDd37/YdRFZKnQGIMuOmT3HzD5XPH+nmV1sZv9mZveY2UvN7E+KvPJfMrO+Yr4nm9m/mtm1ZnZ5kX1SZFlTAyDd4GTgLCpjEvwD8DV3/2lgHPjFohH4CyrpO54MfAx492JVVqRdehe7AiJt8EV3nzazm6jk+vlSMf0mKoP4PJ5KwrgrikGmeoD7FqGeIm2lBkC6wSSAu5fNbNofvfFVpvI3YFTyNj19sSooshh0CUikkgjuGDN7OoCZ9ZnZaYtcJ5GWUwMgXc8rwxa+HHivmd1AJXvpMxa3ViKtpzBQEZEupTMAEZEupQZARKRLqQEQEelSagBERLqUGgARkS6lBkBEpEupARAR6VL/H42TUfCLEnJKAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "UcOzKNoIo9c-",
        "outputId": "43ea734f-e699-4bb6-de96-f9e4c7f77d2b"
      },
      "source": [
        "background_S = librosa.feature.melspectrogram(background_ms, sr=sampling_rate, n_fft=nfft, hop_length=hop_len, n_mels=num_mels, win_length=win_len)\n",
        "background_S_DB = librosa.power_to_db(background_S, ref=np.max)\n",
        "librosa.display.specshow(background_S_DB, sr=sampling_rate, x_axis='time', y_axis='mel');\n",
        "plt.colorbar();\n",
        "plt.title('Background');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "eBWwtFy1o9jN",
        "outputId": "0cce82f8-5f0a-41df-ee98-2718fac282a1"
      },
      "source": [
        "bus_S = librosa.feature.melspectrogram(bus_ms, sr=sampling_rate, n_fft=nfft, hop_length=hop_len, n_mels=num_mels, win_length=win_len)\n",
        "bus_S_DB = librosa.power_to_db(bus_S, ref=np.max)\n",
        "librosa.display.specshow(bus_S_DB, sr=sampling_rate, x_axis='time', y_axis='mel');\n",
        "plt.colorbar();\n",
        "plt.title('Bus');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "_xh_Cr1ppzrQ",
        "outputId": "c2b5c953-fbe2-4dbb-f2f4-5fd7fbb55f0f"
      },
      "source": [
        "car_S = librosa.feature.melspectrogram(car_ms, sr=sampling_rate, n_fft=nfft, hop_length=hop_len, n_mels=num_mels, win_length=win_len)\n",
        "car_S_DB = librosa.power_to_db(car_S, ref=np.max)\n",
        "librosa.display.specshow(car_S_DB, sr=sampling_rate, x_axis='time', y_axis='mel');\n",
        "plt.colorbar();\n",
        "plt.title('Car');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "UDXTWi9aqBjG",
        "outputId": "314c9694-b6bc-4811-8053-9f6b5e7fd482"
      },
      "source": [
        "motorcycle_S = librosa.feature.melspectrogram(motorcycle_ms, sr=sampling_rate, n_fft=nfft, hop_length=hop_len, n_mels=num_mels, win_length=win_len)\n",
        "motorcycle_S_DB = librosa.power_to_db(motorcycle_S, ref=np.max)\n",
        "librosa.display.specshow(motorcycle_S_DB, sr=sampling_rate, x_axis='time', y_axis='mel');\n",
        "plt.colorbar();\n",
        "plt.title('Motorcycle');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MTaE_EBNo9o2"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wXWRX5kLo9tq"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sEYRRyrUo9y4"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}