{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNuz5ToQB/hiwJTFCBOyGT/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/w-okada/voice-changer/blob/dev/VoiceRecorder.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Voice Recorder\n",
        "---\n",
        "\n",
        "このノートでは、MMVCのトレーニング用の音声を録画するアプリ\"Voice Recorder\"をColab上から起動します。\n",
        "\n",
        "録音された音声はこのノートを通してGoogle Drive上にアップロードすることができます。\n",
        "\n",
        "また、従来のVoice Recorderと同様にローカルPCにダウンロードすることもできます。\n",
        "\n",
        "録音後にブラウザとcolab上のサーバ間でやり取りを行うので、更新に少しタイムラグが発生します。\n",
        "\n",
        "ご自身のPCでトレーニングを行う予定の場合は、colab上のサーバで録音するメリットはほぼありませんので、より快適な録音をするために[こちらのgithub上のVoice Recorder](https://w-okada.github.io/voice-changer/)をご使用ください。\n",
        "\n",
        "\n",
        "より詳細な情報はこちらの[リポジトリ](https://github.com/w-okada/voice-changer)からご確認いただけます。\n"
      ],
      "metadata": {
        "id": "Lbbmx_Vjl0zo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 録音データを格納するフォルダを指定\n",
        "\n",
        "フォルダは次の二つを指定する必要があります。\n",
        "1. 録音アプリ用のキャッシュデータ格納フォルダ\n",
        "2. トレーニングデータの格納フォルダ\n",
        "\n",
        "通常、録音データはGoogle Drive上のフォルダに格納すると思います。\n",
        "\n",
        "まずは(1-1)を実行してドライブをマウントしてください。\n",
        "\n",
        "その後、(1-2)で上記の格納フォルダを指定してください。"
      ],
      "metadata": {
        "id": "mHvGrgaWnIPA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (1-1) Google Driveのマウント\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Eihm8H2X-7wm",
        "outputId": "e51016e6-7f6e-4b95-8822-a4713017a6a6"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# (1-2) 使用するモデルとコンフィグファイルの指定\n",
        "RECORDER_DATA_DIR=\"/content/drive/MyDrive/VoiceChanger/voice_data\"\n",
        "MMVC_DATA_DIR=\"/content/drive/MyDrive/VoiceChanger/dataset\"\n"
      ],
      "metadata": {
        "id": "nSXATMWYb4Ik"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# リポジトリのクローン\n",
        "リポジトリをクローンします"
      ],
      "metadata": {
        "id": "sLBfykjBnjWc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (2) リポジトリのクローン\n",
        "!git clone https://github.com/w-okada/voice-changer.git\n",
        "%cd voice-changer/docs/\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "86wTFmqsNMnD",
        "outputId": "63e02151-2e55-49f3-8219-ba16cbb28233"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'voice-changer'...\n",
            "remote: Enumerating objects: 499, done.\u001b[K\n",
            "remote: Counting objects: 100% (83/83), done.\u001b[K\n",
            "remote: Compressing objects: 100% (65/65), done.\u001b[K\n",
            "remote: Total 499 (delta 26), reused 30 (delta 18), pack-reused 416\u001b[K\n",
            "Receiving objects: 100% (499/499), 21.10 MiB | 13.43 MiB/s, done.\n",
            "Resolving deltas: 100% (253/253), done.\n",
            "/content/voice-changer/docs\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ファイルの配置\n",
        "アプリケーションの挙動を記した設定ファイルをコピーします(3-1)。(3-2)はコピーした設定ファイルを表示しています。もしかしたらうまく動かないときに役立つかもしれません。"
      ],
      "metadata": {
        "id": "jmDY8W_fnuSi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (3-1) 設定ファイルのコピー\n",
        "!cp ../template/setting_recorder_colab.json assets/setting.json"
      ],
      "metadata": {
        "id": "ow88ZaubluOJ"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# (3-2) 設定ファイルの内容確認\n",
        "\n",
        "!cat assets/setting.json"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rpWUobjlBCNF",
        "outputId": "0dd8bbc1-dd1e-47fe-fef6-fbc22540dc7a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "    \"app_title\": \"voice-recorder\",\n",
            "    \"storage_type\":\"server\",\n",
            "    \"use_mel_spectrogram\":true,\n",
            "    \"text\": [\n",
            "        {\n",
            "            \"title\": \"ITA-emotion\",\n",
            "            \"wavPrefix\": \"emotion\",\n",
            "            \"file\": \"./assets/text/ITA_emotion_all.txt\",\n",
            "            \"file_hira\": \"./assets/text/ITA_emotion_all_hira.txt\"\n",
            "        },\n",
            "        {\n",
            "            \"title\": \"ITA-recitation\",\n",
            "            \"wavPrefix\": \"recitation\",\n",
            "            \"file\": \"./assets/text/ITA_recitation_all.txt\",\n",
            "            \"file_hira\": \"./assets/text/ITA_recitation_all_hira.txt\"\n",
            "        },\n",
            "        {\n",
            "            \"title\": \"wagahaiwa\",\n",
            "            \"wavPrefix\": \"wagahaiwa\",\n",
            "            \"file\": \"./assets/text/wagahaiwa.txt\",\n",
            "            \"file_hira\": \"./assets/text/wagahaiwa_hira.txt\"\n",
            "        }\n",
            "    ]\n",
            "}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# モジュールのインストール\n",
        "\n",
        "必要なモジュールをインストールします。"
      ],
      "metadata": {
        "id": "8Na2PbLZSWgZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (4) 設定ファイルの確認\n",
        "!pip install flask\n",
        "!pip install flask_cors\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LwZAAuqxX7yY",
        "outputId": "627e09e8-bc64-4110-ce0a-5b3f84e8bf1d"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: flask in /usr/local/lib/python3.7/dist-packages (1.1.4)\n",
            "Requirement already satisfied: click<8.0,>=5.1 in /usr/local/lib/python3.7/dist-packages (from flask) (7.1.2)\n",
            "Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from flask) (1.1.0)\n",
            "Requirement already satisfied: Werkzeug<2.0,>=0.15 in /usr/local/lib/python3.7/dist-packages (from flask) (1.0.1)\n",
            "Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from flask) (2.11.3)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->flask) (2.0.1)\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting flask_cors\n",
            "  Downloading Flask_Cors-3.0.10-py2.py3-none-any.whl (14 kB)\n",
            "Requirement already satisfied: Flask>=0.9 in /usr/local/lib/python3.7/dist-packages (from flask_cors) (1.1.4)\n",
            "Requirement already satisfied: Six in /usr/local/lib/python3.7/dist-packages (from flask_cors) (1.15.0)\n",
            "Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (1.1.0)\n",
            "Requirement already satisfied: Werkzeug<2.0,>=0.15 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (1.0.1)\n",
            "Requirement already satisfied: click<8.0,>=5.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (7.1.2)\n",
            "Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (2.11.3)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->Flask>=0.9->flask_cors) (2.0.1)\n",
            "Installing collected packages: flask-cors\n",
            "Successfully installed flask-cors-3.0.10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# サーバの起動\n",
        "\n",
        "サーバを起動します。(5-1) \n",
        "\n",
        "サーバの起動状況を確認します。(5-2) \n",
        "\n",
        "このセルは繰り返し実行することになるのでCtrl+Retでセルを実行してください。\n",
        "\n",
        "アクセスできるようになるまで、数秒かかります。\n",
        "\n",
        "下記のようなテキストが表示されたら起動完了です。\n",
        "\n",
        "```\n",
        "[2022-09-13 22:20:49,936] INFO in recorderServer: START APP\n",
        " * Serving Flask app \"recorderServer\" (lazy loading)\n",
        " * Environment: production\n",
        "   WARNING: This is a development server. Do not use it in a production deployment.\n",
        "   Use a production WSGI server instead.\n",
        " * Debug mode: on\n",
        "[2022-09-13 22:20:49,946] INFO in _internal:  * Running on http://0.0.0.0:8018/ (Press CTRL+C to quit)\n",
        "[2022-09-13 22:20:49,947] INFO in _internal:  * Restarting with stat\n",
        "[2022-09-13 22:20:50,166] INFO in recorderServer: START APP\n",
        "[2022-09-13 22:20:50,174] WARNING in _internal:  * Debugger is active!\n",
        "[2022-09-13 22:20:50,200] INFO in _internal:  * Debugger PIN: 334-166-753\n",
        "```\n",
        "\n"
      ],
      "metadata": {
        "id": "-_2OcN9Borke"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (5-1) サーバの起動\n",
        "PORT=8018\n",
        "get_ipython().system_raw(f'python3 recorderServer.py {PORT} {RECORDER_DATA_DIR} >foo 2>&1 &')"
      ],
      "metadata": {
        "id": "iNOAB7zISI6J"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# (5-2) サーバの起動確認 (Ctrl+Retで実行)\n",
        "!cat foo"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "chu06KpAjEK6",
        "outputId": "a42873c4-2826-4b54-f497-01adb1683875"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2022-09-13 22:45:22,054] INFO in recorderServer: START APP\n",
            " * Serving Flask app \"recorderServer\" (lazy loading)\n",
            " * Environment: production\n",
            "   WARNING: This is a development server. Do not use it in a production deployment.\n",
            "   Use a production WSGI server instead.\n",
            " * Debug mode: on\n",
            "[2022-09-13 22:45:22,062] INFO in _internal:  * Running on http://0.0.0.0:8018/ (Press CTRL+C to quit)\n",
            "[2022-09-13 22:45:22,063] INFO in _internal:  * Restarting with stat\n",
            "[2022-09-13 22:45:22,238] INFO in recorderServer: START APP\n",
            "[2022-09-13 22:45:22,244] WARNING in _internal:  * Debugger is active!\n",
            "[2022-09-13 22:45:22,268] INFO in _internal:  * Debugger PIN: 334-166-753\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# プロキシを起動\n",
        "ウェブサーバへのアクセスをするためのプロキシを起動します。\n",
        "\n",
        "表示されたURLをクリックして開くと別タブでアプリが開きます。\n",
        "\n",
        "Colabなので、ロードにある程度時間がかかります(30秒くらい)。"
      ],
      "metadata": {
        "id": "WhxcFLQEpctq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (7) プロキシを起動\n",
        "from google.colab import output\n",
        "\n",
        "output.serve_kernel_port_as_window(PORT)"
      ],
      "metadata": {
        "id": "nkRjZm95l87C",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "768df0ee-9499-430b-ab4f-c602311114ae"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "(async (port, path, text, element) => {\n",
              "    if (!google.colab.kernel.accessAllowed) {\n",
              "      return;\n",
              "    }\n",
              "    element.appendChild(document.createTextNode(''));\n",
              "    const url = await google.colab.kernel.proxyPort(port);\n",
              "    const anchor = document.createElement('a');\n",
              "    anchor.href = new URL(path, url).toString();\n",
              "    anchor.target = '_blank';\n",
              "    anchor.setAttribute('data-href', url + path);\n",
              "    anchor.textContent = text;\n",
              "    element.appendChild(anchor);\n",
              "  })(8018, \"/\", \"https://localhost:8018/\", window.element)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# トレーニング用データフォルダ\n",
        "\n",
        "以下、トレーニング用のフォルダを作成します。\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "ZGuYYN7oCSM4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "corpus_id = \"14oXoQqLxRkP8NJK8qMYGee1_q2uEED1z\"\n",
        "\n",
        "data_setting = [\n",
        "    [\"user\",     \"\",                                  \"\",              \"00_myvoice\",         \"107\"],\n",
        "    [\"zundamon\", \"1h8Ajyvoig7Hl3LSSt2vYX0sUHX3JDF3R\", \"1205_zundamon\", \"01_target_zundamon\", \"100\"],\n",
        "    [\"tsumugi\",  \"14zE0F_5ZCQWXf6m6SUPF5Y3gpL6yb7zk\", \"344_tsumugi\",   \"02_target_tsumugi\",  \"103\"],\n",
        "    [\"metan\",    \"1iCrpzhqXm-0YdktOPM8M1pMtgQIDF3r4\", \"459_methane\",   \"03_target_metan\",    \"102\"],\n",
        "    [\"sora\",     \"1MXfMRG_sjbsaLihm7wEASG2PwuCponZF\", \"912_sora\",      \"04_target_ksora\",    \"101\"],\n",
        "]"
      ],
      "metadata": {
        "id": "3PhrmCD2LaCH"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os, glob\n",
        "\n",
        "os.makedirs(MMVC_DATA_DIR, exist_ok=True)\n",
        "speaker_list = os.path.join(MMVC_DATA_DIR, \"multi_speaker_correspondence.txt\")\n",
        "!echo \"00_myvoice|107\" > {speaker_list}\n",
        "!echo \"01_target_zundamon|100\" >> {speaker_list}\n",
        "!echo \"02_target_tsumugi|103\" >> {speaker_list}\n",
        "!echo \"03_target_metan|102\" >> {speaker_list}\n",
        "!echo \"04_target_ksora|101\" >> {speaker_list}\n",
        "\n",
        "!cat {speaker_list}\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f5l6ggSyACLs",
        "outputId": "4db3571a-46e6-4fd9-c560-628cf4af9284"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "00_myvoice|107\n",
            "01_target_zundamon|100\n",
            "02_target_tsumugi|103\n",
            "03_target_metan|102\n",
            "04_target_ksora|101\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!rm -rf /content/drive/MyDrive/VoiceChanger/train_data/00_myvoice/wav/*"
      ],
      "metadata": {
        "id": "UEVb2GGZSesY"
      },
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import gdown\n",
        "\n",
        "gdown.download(f'https://drive.google.com/uc?id={corpus_id}', f'ita_corpus.zip', quiet=False)\n",
        "!unzip -oq 'ita_corpus.zip'\n",
        "\n",
        "for chara in data_setting:\n",
        "  chara_root_dir = os.path.join(MMVC_DATA_DIR, chara[3])\n",
        "  os.makedirs(chara_root_dir, exist_ok=True)\n",
        "  \n",
        "  chara_text_dir = os.path.join(chara_root_dir, \"text\")\n",
        "  os.makedirs(chara_text_dir, exist_ok=True)\n",
        "  chara_wav_dir = os.path.join(chara_root_dir, \"wav\")\n",
        "  os.makedirs(chara_wav_dir, exist_ok=True)\n",
        "\n",
        "  if chara[0] != \"user\":\n",
        "      gdown.download(f'https://drive.google.com/uc?id={chara[1]}', f'{chara[0]}.zip', quiet=False)\n",
        "      !unzip -f '{chara[0]}.zip'\n",
        "      !cp -rf {chara[2]}/* {chara_root_dir}/\n",
        "\n",
        "  if chara[0] == \"user\":\n",
        "    !cp MMVC向けITAコーパス文章ファイル_配布用/ITA_emotion_hira_100file/*    {chara_text_dir}\n",
        "    !cp MMVC向けITAコーパス文章ファイル_配布用/ITA_recitation_hira_324file/* {chara_text_dir}\n",
        "\n",
        "    file_list = [os.path.abspath(p) for p in glob.glob(f\"{RECORDER_DATA_DIR}/*/*.zip\")]\n",
        "    for f in list(file_list):\n",
        "      # print(f)\n",
        "      basename = os.path.basename(f)\n",
        "      wavname = os.path.splitext(basename)[0] + \".wav\"\n",
        "      full_path = os.path.join(chara_wav_dir, wavname)\n",
        "      # print(basename, wavname, full_path)\n",
        "      !unzip -oq {f} vf24kTrim.wav\n",
        "      !cp vf24kTrim.wav {full_path}\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L8UsVp3dDs4R",
        "outputId": "5d640caf-87b0-45a6-aa0c-76295e537f6a"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=14oXoQqLxRkP8NJK8qMYGee1_q2uEED1z\n",
            "To: /content/voice-changer/docs/ita_corpus.zip\n",
            "100%|██████████| 1.20M/1.20M [00:00<00:00, 87.9MB/s]\n"
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          "text": [
            "/content/drive/MyDrive/VoiceChanger/voice_data/ITA-emotion/emotion000.zip\n",
            "/content/drive/MyDrive/VoiceChanger/voice_data/ITA-emotion/emotion002.zip\n",
            "/content/drive/MyDrive/VoiceChanger/voice_data/ITA-emotion/emotion001.zip\n"
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          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1h8Ajyvoig7Hl3LSSt2vYX0sUHX3JDF3R\n",
            "To: /content/voice-changer/docs/zundamon.zip\n",
            "100%|██████████| 55.6M/55.6M [00:00<00:00, 251MB/s]\n"
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          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=14zE0F_5ZCQWXf6m6SUPF5Y3gpL6yb7zk\n",
            "To: /content/voice-changer/docs/tsumugi.zip\n",
            "100%|██████████| 73.0M/73.0M [00:00<00:00, 226MB/s]\n"
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            "Archive:  tsumugi.zip\n"
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          "name": "stderr",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1iCrpzhqXm-0YdktOPM8M1pMtgQIDF3r4\n",
            "To: /content/voice-changer/docs/metan.zip\n",
            "100%|██████████| 51.8M/51.8M [00:00<00:00, 219MB/s]\n"
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          "name": "stderr",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1MXfMRG_sjbsaLihm7wEASG2PwuCponZF\n",
            "To: /content/voice-changer/docs/sora.zip\n",
            "100%|██████████| 70.2M/70.2M [00:00<00:00, 184MB/s]\n"
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    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "yHmaXx31EOta"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}