Node-REDを使ってみる　その７（VOICEVOXエンジン、日本語の音声合成）

2026年1月3日 2026年1月3日

管理人

はじめに

　今回はNode-REDでVOICEVOXエンジンのAPIを利用してみました。

　以前VOICEVOX COREを用いた音声合成については試したことがあります。

▼こちらの記事で試していました。

　VOICEVOXではGPUの利用にも対応しているようです。ローカルネットワーク内でAPIとして利用することで、処理を分散させたいというのもあって試してみました。

▼以前の記事はこちら

VOICEVOXのインストール

▼以下のページからインストーラをダウンロードし、実行しました。

https://voicevox.hiroshiba.jp

　インストール後、問題なく起動できました。

▼サンプルボイスを視聴することができます。

　VOICEVOX Nemoも追加しておきました。

▼VOICEVOX Nemoのページはこちら

https://voicevox.hiroshiba.jp/nemo

▼VOICEVOXのマルチエンジン機能を有効化してから、ダウンロードしたものを実行して追加しました。

▼問題なく追加されました。

　エンジンが問題なく起動していれば、http://localhost:50021/docsにアクセスすればAPIのドキュメントが表示されます。

▼この後APIを利用するときにも参考にします。

▼VOICEVOX Nemoの場合は、50121ポートにアクセスするとドキュメントが表示されました。

Node-REDでAPIを利用する

基本的なノードでの動作確認

　Node-REDでVOICEVOX NemoのAPIを利用します。まずは話者のIDを確認します。

▼http://localhost:50121/speakersにGETリクエストを行ったところ、nameやidなどの情報が得られました。

　このままでは分かりにくいので、値にアクセスして見やすくします。

▼文字列からJSON形式にパースすると、配列の中に入っているJSON形式として得られました。

▼msg.payload.0にchangeノードでアクセスすると、配列の0番目の値を取得できました。

　versionやsupported_featuresなどのプロパティは削除して、IDと種類が分かるようなJSON形式としてまとめました。splitノードとjoinノードを使います。

▼以下のフローを作成しました。

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　後でDashboard 2.0で表示するときに、ドロップダウンで選択して、IDを代入できるようにします。

　VOICEVOXで音声合成を行い、そのデータを取得できるようにします。/audio_queryにテキストと話者のIDを渡し、その結果を/synthesisに送ります。その後、出力された音声ファイルのバイナリバッファをplay audioノードで再生できるようにしました。

▼フローはこちら

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　これで最初のinjectノードで渡したテキストを話す音声が再生されるようになりました。

Dashboard 2.0との組み合わせ

　先程作成したフローをもとに、ドロップダウンで話者を選択し、入力したテキストを元に音声の合成を行うようにします。

▼作成したフローはこちら。

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Dropdown","info":"","x":550,"y":680,"wires":[]},{"id":"dbf1aaba5df056c8","type":"ui-group","name":"Request","page":"d51a02377692e5e7","width":6,"height":1,"order":1,"showTitle":true,"className":"","visible":"true","disabled":"false","groupType":"default"},{"id":"d51a02377692e5e7","type":"ui-page","name":"VOICEVOX","ui":"5259dd30612d8960","path":"/page2","icon":"home","layout":"grid","theme":"058cd637c69323b8","breakpoints":[{"name":"Default","px":"0","cols":"3"},{"name":"Tablet","px":"576","cols":"6"},{"name":"Small Desktop","px":"768","cols":"9"},{"name":"Desktop","px":"1024","cols":"12"}],"order":1,"className":"","visible":"true","disabled":"false"},{"id":"5259dd30612d8960","type":"ui-base","name":"My Dashboard","path":"/dashboard","appIcon":"","includeClientData":true,"acceptsClientConfig":["ui-notification","ui-control"],"showPathInSidebar":false,"headerContent":"page","navigationStyle":"default","titleBarStyle":"default","showReconnectNotification":true,"notificationDisplayTime":1,"showDisconnectNotification":true,"allowInstall":false},{"id":"058cd637c69323b8","type":"ui-theme","name":"Default Theme","colors":{"surface":"#ffffff","primary":"#0094CE","bgPage":"#eeeeee","groupBg":"#ffffff","groupOutline":"#cccccc"},"sizes":{"density":"default","pagePadding":"12px","groupGap":"12px","groupBorderRadius":"4px","widgetGap":"12px"}},{"id":"bf5465f9570bd243","type":"global-config","env":[],"modules":{"node-red-contrib-play-audio":"2.5.0","@flowfuse/node-red-dashboard":"1.30.1"}}]

▼実際のダッシュボード画面はこんな感じ。

▼ドロップダウンで選択すると、IDが出力されます。

　これでダッシュボード画面で入力したテキストの音声が再生されるようになりました。

GPU版の確認

　NVIDIA系のGPUならGPUモードも利用できるようです。設定→オプションの欄で設定しました。

▼エンジンモードを変更したところ、最初にGPUの確認がありました。

　私のPCはNVIDIA系のRTX 3050 Laptopが搭載されています。

▼PCは10万円ぐらいで購入したゲーミングノートPCを利用しています。

【Amazon.co.jp限定】 ASUS ゲーミングノートPC TUF Gaming A15 FA506NCR 15.6型 RTX 3050 AMD Ryzen 7 743...

Amazon

　Ollamaでgpt-oss:20bを利用して、長めのテスト用のテキストを生成してもらいました。

皆さま、注意喚起のご案内です。  12月25日 16:00（本日）から、当社サーバーは定期メンテナンスを実施いたします。  メンテナンス期間は、16:00〜18:30を予定しております。  この間、以下のサービスがご利用いただけません。  ユーザープロファイル閲覧機能 購入履歴検索機能 オンライン決済機能 ご不便をお掛けしますが、安全性向上のためご協力をお願いいたします。  メンテナンス完了後は、正常に復旧します。復旧時間は、再び本日 18:30頃を予定しております。  なお、万が一サーバー障害が発生した場合は、当社サポートセンターへお問い合わせください。  24時間対応で、お客様のご質問・ご要望に迅速に対応いたします。

　CPU版では10秒ぐらい、GPU版では5秒ぐらいかかりました。初回だけCPU版で30秒ぐらいかかることがありました。PCの性能にもよるかと思いますが、私の環境ではGPU版の方が速そうでした。