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All audio processing occurs in the browser via WebAssembly; no microphone data leaves the device.\n\nThe Picovoice SDK enables a complete Voice AI interaction loop, such as the following:\n\n> \"Picovoice, set a timer for two minutes\"\n\nWhere \"Picovoice\" is the wake word to start the interaction, and the follow-on command is processed and directly converted from speech into structured data:\n\n```json\n{\n \"isUnderstood\": true,\n \"intent\": \"setTimer\",\n \"slots\": {\n \"minutes\": \"2\"\n }\n}\n```\n\nThe natural commands are domain-specific. In this case, a clock. It will only understand what you program it to understand, resulting in dramatic efficiency and accuracy improvements over generic Speech-to-Text approaches:\n\n> \"Picovoice, tell me a joke\"\n\n```json\n{\n \"isUnderstood\": false\n}\n```\n\nThis command was outside the domain and therefore not understood.\n\nAll processing is done via WebAssembly and Workers in a separate thread. Speech results are converted into inference directly, without intermediate Speech-to-Text.\n\nUnderneath, Picovoice SDK wake word and inference detection is powered by the [Porcupine](https://picovoice.ai/platform/porcupine/) and [Rhino](https://picovoice.ai/platform/porcupine/) engines, respectively. If you wish to use those engines individually, you can use the npm packages specific to them.\n\n## Compatibility\n\nThis library is compatible with Vue:\n- Vue.js 2.6.11+\n- Vue.js 3.0.0+\n\nThe Picovoice SDKs for Web are powered by WebAssembly (WASM), the Web Audio API, and Web Workers.\n\nAll modern browsers (Chrome/Edge/Opera, Firefox, Safari) are supported, including on mobile. Internet Explorer is _not_ supported.\n\nUsing the Web Audio API requires a secure context (HTTPS connection), except for `localhost`, for local development.\n\n## AccessKey\n\nPicovoice requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Picovoice 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## Installation\n\nInstall the package using `npm` or `yarn`. You will also need to add the `@picovoice/web-voice-processor` and one of the `@picovoice/picovoice-web-xx-worker` series of packages for the language-specific model:\n\nE.g. English:\n\n```console\nyarn add @picovoice/picovoice-web-vue @picovoice/picovoice-web-en-worker @picovoice/web-voice-processor\n```\n\n## Usage\n\nImport the `picovoiceMixin` from the `@picovoice/picovoice-web-vue` package which exposes the variable `$picovoice` to your component. The mixin exposes the following functions:\n\n- `init`: initializes Picovoice.\n- `start`: starts processing audio and either detect wake work or infer context.\n- `pause`: stops processing audio.\n- `delete`: cleans up used resources.\n\nUse the `init` function and `PicovoiceWorkerFactory` to initialize the instance of Picovoice and start processing audio:\n\n```html\n\n```\n\n## Custom Wake Words and Contexts\n\nCustom wake words and contexts are generated using [Picovoice Console](https://console.picovoice.ai/). They are trained from text using transfer learning into bespoke Porcupine keyword files with a `.ppn` extension and Rhino context files with a `.rhn` extension. The target platform is WebAssembly (WASM), as that is what backs the Vue library.\n\nThe `.zip` file contains a `.ppn` or `.rhn` file and a `_b64.txt` file which contains the binary model encoded with Base64. Copy the base64 and provide it as an argument to Picovoice as below:\n\n```typescript\nfactoryArgs: {\n accessKey: \"${ACCESS_KEY}\", // AccessKey obtained from Picovoice Console(https://console.picovoice.ai/)\n start: true,\n porcupineKeyword: { custom: base64: '${KEYWORD_FILE_64}', custom: 'Deep Sky Blue', sensitivity: 0.65 },\n rhinoContext: { base64: '${CONTEXT_FILE_64}' },\n},\n```\n\nYou may wish to store the base64 string in a separate JavaScript file and export it to keep your application code separate.\n","readmeFilename":"README.md"}