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Tested with Firefox, Chromium-based browsers (Chrome and Brave), and Safari.\n\nThis example connects directly from your browser to the IBM Watson Cloud Speech to Text service and shows its output with [Scarlett's WebGL Framework](https://github.com/scarlettgamestudio/scarlett-framework) (MSDF) BMFont Text Rendering. \n\n## Basic Setup (without Speech to Text)\n\n1. Install NodeJS (22.x)\n2. Fork and clone the repo\n3. Install Yarn globally with `$ npm i -g yarn` or download it at their [website](https://yarnpkg.com/en/docs/install)\n4. `$ yarn` in the repo directory to install dependencies\n5. `$ yarn build` to bundle code\n5. `$ yarn start` to run express server\n6. Open [localhost:4000](http://localhost:4000) in the browser\n\n## IBM Watson Cloud Speech to Text\n\nIf you want to test IBM Watson's Speech to Text service, you'll need some additional steps:\n1. Create an account over https://www.ibm.com/watson/developer/ and generate credentials to Speech to Text service\n2. Create a `.env` file within the project folder and add the credentials through `SPEECH_TO_TEXT_API_KEY` and `SPEECH_TO_TEXT_URL` variables.\n\n    Alternatively, you can go to `api/index.js` and replace the values accordingly.\n3. `$ yarn start` to run express server\n4. Open [localhost:4000](http://localhost:4000) in the browser\n5. Clicking `Activate` button (when enabled) should now ask for your permission to use the microphone and render the output accordingly.\n\n## Credits\n\n- The animation effect is based on [this](https://github.com/Jam3/three-bmfont-text) repo by Mattdesl.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapidcloud%2Fscarlett-watson","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapidcloud%2Fscarlett-watson","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapidcloud%2Fscarlett-watson/lists"}