Mastra Google voice integration
A 'scraper' for google voice!
parse weird google voice api XML responses
Google Voice library for node.js
Mastra Google voice integration
Google Voice command line tool.
Open source Google Voice with Receptionist abilities
Voice Error Codes
Twilio's JavaScript Voice SDK
Google Voice automation using Selenium
node-edge-tts is a module that using Microsoft Edge's online TTS (Text-to-Speech) service on the Node.js
Implementation of the Discord Voice API for Node.js
CLI tool for Genspark Tool API - search, crawl, analyze images, generate media
Powerful, user-friendly voice activity detector (VAD) for node
Amazon Connect Streams Library
React library for audio recording and visualization using Web Audio API
Voice functionality of the Amazon Connect SDK
The Voice API lets you create outbound calls, control in-progress calls and get information about historical calls.
Mastra Google Gemini Live API integration
AWS SDK for JavaScript Pinpoint Sms Voice V2 Client for Node.js, Browser and React Native
Google APIs Authentication Client Library for Node.js
Powerful, user-friendly, client-side voice activity detector (VAD) for React apps
Silero voice activity detection LiveKit Node Agents
Powerful, user-friendly voice activity detector (VAD) for the browser
Google Voice does not have an API. This library gets around that limitation.
Uses Mechanize to screen-scrape Google Voice since there is no public API
Ruby library for interacting with Google Voice
gvoice-ruby is currently a very preliminary project with limited functionality basically confined to returning arrays of voicemail or sms objects and sending sms messages, or connecting calls. It cannot cancel calls already in progress. It currently works under ruby 1.8.7-p302 and 1.9.2-p0 on my computer running Mac OS X 10.6 (Snow Leopard). It is not guaranteed to work anywhere else and has very few tests.
GoogleText is a SMS client library for sending and receiving free SMS through Google Voice. Alas, Google Voice does not yet have an API, so GoogleText uses Curl and Nokogiri to scrape and post using Google Voice web URLs.
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.
Contact Center AI Insights helps users detect and visualize patterns in their contact center data. Understanding conversational data drives business value, improves operational efficiency, and provides a voice for customer feedback. Note that google-cloud-contact_center_insights-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-contact_center_insights instead. See the readme for more details.
A framework for combining natural speech processing tools with public APIs. Basic functions work out of the box, and with a bit of configuration you can get weather information, manage your google calendar, or access wolfram alpha, all using your voice or natural language text. If you want more functionality, it's easy to associate your own code with a keyword or speech category. Try the demo interface by tweeting @Cogibara
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