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It directly infers intent from spoken commands within a given context of\ninterest, in real-time. For example, given a spoken command *\"Can I have a small double-shot espresso?\"*, Rhino infers that the user wants to order a drink and emits the following inference result:\n\n```json\n{\n  \"type\": \"espresso\",\n  \"size\": \"small\",\n  \"numberOfShots\": \"2\"\n}\n```\n\nUnlike typical NLU inference software, Rhino does _not_ use generic Speech-to-Text transcription, and instead operates on a compact, bespoke model generated for a specific use case; e.g. a coffee maker, or smart home lighting. Unless you deliberately program it to do so, it won't understand phrases like _\"tell me a joke\"_. Using this approach (combined with Picovoice's proprietary deep learning technology) allows for:\n\n- dramatically improved efficiency (it can even run on tiny microcontrollers)\n- accuracy gains from not having to anticipate every possible spoken phrase\n- avoiding transcription errors compounding into the intent understanding (e.g. homonyms are much less of an issue, because we probably know which word makes sense).\n\nTo learn more about Rhino, see the [platform](https://picovoice.ai/platform/rhino/), [documentation](https://picovoice.ai/docs/), and [GitHub](https://github.com/Picovoice/rhino/) pages.\n\n### Creating a context\n\nTo design contexts and train into `.rhn` files, see the [Picovoice Console](https://console.picovoice.ai/).\n\nFiles generated with the Picovoice Console carry restrictions including (but not limited to): training allowance, time limits, available platforms, and commercial usage.\n\n## Compatibility\n\n- Node.js 18+\n- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64), and Raspberry Pi (3, 4, 5).\n\n### Web Browsers\n\nThis binding is for Node.js and **does not work in a browser**. Looking to run Rhino in-browser? There are npm packages available for [Web](https://www.npmjs.com/package/@picovoice/rhino-web)<!-- markdown-link-check-disable-line -->, and dedicated package for [React](https://www.npmjs.com/package/@picovoice/rhino-react)<!-- markdown-link-check-disable-line -->.\n\n## AccessKey\n\nRhino requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Rhino SDKs.\nYou can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.\nSignup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.\n\n## Usage\n\nThe binding provides the Rhino class. Create instances of the Rhino class to make speech inferences within a context.\n\n### Quick Start\n\n```javascript\nconst {Rhino} = require(\"@picovoice/rhino-node\");\n\nconst coffeeMakerContextPath = \"./coffee_maker.rhn\";\nconst accessKey = \"${ACCESS_KEY}\" // Obtained from the Picovoice Console (https://console.picovoice.ai/)\nconst handle = new Rhino(accessKey, coffeeMakerContextPath);\n\nlet isFinalized = false;\n// process each frame of audio until Rhino has concluded that it understood the phrase (or did not)\n// when Rhino has reached a conclusion, isFinalized will become true\nwhile (!isFinalized) {\n  isFinalized = handle.process(frame);\n  // retrieve the inference from Rhino\n  if (isFinalized) {\n    const inference = handle.getInference();\n    // inference result example:\n    //\n    //   {\n    //     isUnderstood: true,\n    //     intent: 'orderDrink',\n    //     slots: {\n    //       size: 'medium',\n    //       numberOfShots: 'double shot',\n    //       coffeeDrink: 'americano',\n    //       milkAmount: 'lots of milk',\n    //       sugarAmount: 'some sugar'\n    //     }\n    //   }\n  }\n}\n\n// always call release when finished, to free the resources allocated by Rhino\nhandle.release();\n```\n\n### Override model and library paths\n\nThe Rhino constructor accepts optional parameters for the absolute paths to the model and dynamic library, should you need to override them (typically, you will not).\n\n```javascript\nconst accessKey = \"${ACCESS_KEY}\" // Obtained from the Picovoice Console (https://console.picovoice.ai/)\nconst handle = new Rhino(\n  accessKey,\n  contextPath,\n  {\n    modelPath: modelFilePath,\n    libraryPath: libraryFilePath\n  }\n);\n```\n\n## Using the bindings from source\n\n## Unit Tests\n\nRun `yarn` (or `npm install --also=dev`) from the [binding/nodejs](https://github.com/Picovoice/rhino/tree/master/binding/nodejs) directory to install project dependencies. This will also run a script to copy all of the necessary shared resources from the Rhino repository into the package directory.\n\nRun `yarn test` (or `npm run test`) from the [binding/nodejs](https://github.com/Picovoice/rhino/tree/master/binding/nodejs) directory to execute the test suite.\n","readmeFilename":"README.md"}