Similarity.ipynb

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  "metadata": {
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    "kernelspec": {
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    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "! pip install essentia"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tIhoyMQbhBjt",
        "outputId": "6025ef86-7a34-41f0-95a9-b9d6e2384d7f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting essentia\n",
            "  Downloading essentia-2.1b6.dev858-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.7/13.7 MB\u001b[0m \u001b[31m18.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.9/dist-packages (from essentia) (1.15.0)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.9/dist-packages (from essentia) (6.0)\n",
            "Requirement already satisfied: numpy>=1.8.2 in /usr/local/lib/python3.9/dist-packages (from essentia) (1.22.4)\n",
            "Installing collected packages: essentia\n",
            "Successfully installed essentia-2.1b6.dev858\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import essentia.standard as estd\n",
        "from essentia.pytools.spectral import hpcpgram\n",
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt \n",
        "import pathlib\n",
        "from progressbar import ProgressBar\n",
        "import glob"
      ],
      "metadata": {
        "id": "yYo-IsTJgMmE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def computeDistance(query_filename, ref_filename):\n",
        "\n",
        "\n",
        "  query_audio = estd.MonoLoader(filename=query_filename, sampleRate=32000)()\n",
        "  ref_audio = estd.MonoLoader(filename=ref_filename, sampleRate=32000)()\n",
        "\n",
        "  \n",
        "  query_hpcp = hpcpgram(query_audio, sampleRate=32000)\n",
        "  true_cover_hpcp = hpcpgram(ref_audio, sampleRate=32000)\n",
        "\n",
        "  cross_similarity = estd.ChromaCrossSimilarity(frameStackSize=9, frameStackStride=1, binarizePercentile=0.095, oti=True)\n",
        "  true_pair_sim_matrix = cross_similarity(query_hpcp, true_cover_hpcp)\n",
        "\n",
        "  score_matrix, distance = estd.CoverSongSimilarity(disOnset=0.5, disExtension=0.5, alignmentType='serra09', distanceType='asymmetric') (true_pair_sim_matrix)\n",
        "\n",
        "  #plt.figure(figsize=(50,50))\n",
        "  #plt.title('Cover song similarity distance: %s' % distance)\n",
        "  #plt.xlabel(query_filename)\n",
        "  #plt.ylabel(ref_filename)\n",
        "  #plt.imshow(score_matrix, origin='lower')\n",
        "\n",
        "  return distance\n"
      ],
      "metadata": {
        "id": "qaPGqBEWlVNr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Témoins"
      ],
      "metadata": {
        "id": "iobFaLbIHHf6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ref_dir = pathlib.Path(\"references\")\n",
        "ref_filenames = glob.glob(str(ref_dir/'*.mp3*'))\n",
        "print('Number of files:', len(ref_filenames))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XCPoGTmOA6x3",
        "outputId": "3b57a5cf-5ac7-43fa-b7e4-8490eed78a46"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of files: 10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "jazz_dir = pathlib.Path(\"Jazz_test\")\n",
        "jazz_filenames = glob.glob(str(jazz_dir/'*.mp3'))\n",
        "print('Number of files:', len(jazz_filenames))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_wuXlN-EBcmA",
        "outputId": "300a53f3-a3a9-44c3-80f7-b8dfc460b7af"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of files: 3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "not_jazz_dir = pathlib.Path(\"not_Jazz_test\")\n",
        "not_jazz_filenames = glob.glob(str(not_jazz_dir/'*.mp3'))\n",
        "print('Number of files:', len(not_jazz_filenames))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bCQ2QFHKC1iT",
        "outputId": "9a7ef80d-8938-43a1-c0af-23f185c5fc07"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of files: 3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "jazz_sim = []\n",
        "not_jazz_sim = []\n",
        "\n",
        "for ref_file in ref_filenames:\n",
        "  print(ref_file)\n",
        "  pbar_jazz = ProgressBar()\n",
        "  for jazz_file in pbar_jazz(jazz_filenames):\n",
        "    jazz_sim.append(computeDistance(jazz_file, ref_file))\n",
        "  \n",
        "  pbar_not_jazz = ProgressBar()\n",
        "  for not_jazz_file in pbar_not_jazz(not_jazz_filenames):\n",
        "    not_jazz_sim.append(computeDistance(not_jazz_file, ref_file))\n",
        "  \n",
        "print(jazz_sim)\n",
        "print(not_jazz_sim)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 872
        },
        "id": "fOoG2Eo7DC8R",
        "outputId": "4328b2d2-c78d-4c78-86b4-f7550d53c161"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r                                                                               \r\rN/A% (0 of 3) |                          | Elapsed Time: 0:00:00 ETA:  --:--:--"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Frank Sinatra  Fly Me To The Moon Live At The Kiel Opera House St Louis MO1965.mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Very_Early_(solo).mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Moon_River.mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/A_Sleeping_Bee.mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Misty Erroll Garner  Jazz Piano Sheet Music.mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Wade_In_The_Water.mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/People_Will_Say_Were_In_Love.mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Louis Armstrong  La Vie En Rose 1950 Digitally Remastered.mp3\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Louis Armstrong  What A Wonderful World.mp3\n"
          ]
        },
        {
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "references/Glenn Miller  In The Mood HQ.mp3\n"
          ]
        },
        {
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        },
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              "<Figure size 432x288 with 1 Axes>"
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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def moyenneSim(sims):\n",
        "  return sum(sims)/len(sims)"
      ],
      "metadata": {
        "id": "EJpcePN2D3fD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Moyenne distance similarité Jazz/Jazz : \",moyenneSim(jazz_sim))\n",
        "print(\"Moyenne distance similarité NonJazz/Jazz : \",moyenneSim(not_jazz_sim))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IB8pyxz7I4ki",
        "outputId": "cbeb045e-ae0a-477c-9ac4-7830650c54b8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Moyenne distance similarité Jazz/Jazz :  0.19651720424493155\n",
            "Moyenne distance similarité NonJazz/Jazz :  0.3874640315771103\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Tester un morceau"
      ],
      "metadata": {
        "id": "IxmGimpTEpEe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sim = []\n",
        "\n",
        "pbar = ProgressBar()\n",
        "\n",
        "query_file = #fichier à comparer\n",
        "\n",
        "for ref_file in pbar(ref_filenames):\n",
        "  sim.append(computeDistance(query_file, ref_file))\n",
        "\n",
        "print(\"Moyenne distance similarité Query/Jazz :\", moyenneSim(sim))"
      ],
      "metadata": {
        "id": "7EVmcYBhJQwe"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}