React HOC for voice command recognition. Based on Web Speech API's Speech Recognizer, using Annyang
MediaPipe Vision Tasks
node-edge-tts is a module that using Microsoft Edge's online TTS (Text-to-Speech) service on the Node.js
Provides natural language understanding/processing to enable easy implementation of chat bots and voice services. High performance run time in only 2 lines of code - 'require' to include it, and the call to process the text. These can run anywhere Node.js
An isomorphic client library for the Azure Document Intelligence service.
Voice Error Codes
Document Intelligence Rest Client
Speech-command recognizer in TensorFlow.js
Twilio's JavaScript Voice SDK
A lightweight JavaScript library that matches paths against registered routes. It includes support for dynamic and star segments and nested handlers.
A lightweight JavaScript library that matches paths against registered routes.
A lightweight JavaScript library is built on top of route-recognizer and rsvp.js to provide an API for handling routes
AWS SDK for JavaScript Chime Sdk Voice Client for Node.js, Browser and React Native
AWS SDK for JavaScript Pinpoint Sms Voice Client for Node.js, Browser and React Native
AWS SDK for JavaScript Voice Id Client for Node.js, Browser and React Native
Hammer.js based touch events plugin for Vue.js
[](https://opensource.org/licenses/MIT) [](http://www.typescriptlang.org/) [ for node
Azure Communication Services Calling Web SDK
ReactJS / HammerJS integration. Support touch events in your React app.
React library for audio recording and visualization using Web Audio API
AWS SDK for JavaScript Pinpoint Sms Voice V2 Client for Node.js, Browser and React Native
Sbire is a command line tool that recognize your voice and execute commands linked
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v1p1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
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