Package Exports
- react-native-wakeword
- react-native-wakeword/wakewords/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (react-native-wakeword) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
About this package:
DaVoice.io Voice commands / Wake words / Voice to Intent / keyword detection npm for Android and IOS.
Contact us at info@DaVoice.io
IOS and Android Package
Installation
npm install react-native-wakeword
Android:
Add this to your android/build.gradle file:
allprojects { repositories { // react-native-wakeword added maven { url "${project(":react-native-wakeword").projectDir}/libs" } maven { url("${project(':react-native-wakeword').projectDir}/libs") } maven { url("${project(':react-native-wakeword').projectDir}/libs") } // End react-native-wakeword added ... your other lines...
Githhub examples:
Checkout examples on:
https://github.com/frymanofer/ReactNative_WakeWordDetection
FAQ:
What is a wake word?
A wake word is a keyword that activates your device, like "Hey Siri" or "OK Google".
What is a Speech to Intent?
Speech to Intent refers to the ability to recognize a spoken word or phrase and directly associate it with a specific action or operation within an application.
Unlike a "wake word," which typically serves to activate or wake up the application, Speech to Intent goes further by enabling complex interactions and functionalities based on the recognized intent behind the speech.
For example, a wake word like "Hey App" might activate the application, while Speech to Intent could process a phrase like "Play my favorite song" or "Order a coffee" to execute corresponding tasks within the app. Speech to Intent is often triggered after a wake word activates the app, making it a key component of more advanced voice-controlled applications. This layered approach allows for seamless and intuitive voice-driven user experiences.
How accurate is the platform?
Our platform ensures 99.99%+ accuracy in various environments.