TalAter/annyang
Annyang
Annyang is a speech recognition library and web speech API wrapper that enables the integration of voice command interfaces into websites. It functions as a browser-based voice controller, mapping spoken phrases and regular expressions to specific JavaScript functions to trigger application actions.
The library provides mechanisms for voice command mapping and simulation, allowing developers to associate spoken text with executable callbacks. It includes tools for command variable extraction using regular expression capture groups, which allows specific words from a spoken phrase to be passed as arguments to functions.
The system covers microphone state management, recognition event handling, and state monitoring to coordinate user interface updates. It also includes capabilities for browser compatibility verification, recognition language configuration, and the rendering of a voice interaction GUI for status and command hints.
Features
- Browser-Based Voice Control - Provides a comprehensive system for building custom voice-controlled interfaces within a web browser.
- Speech Recognition Toggles - Provides controls to start, pause, resume, and stop the speech recognition engine and microphone access.
- Web Speech API Wrappers - Acts as a specialized wrapper for the Web Speech API to add voice command functionality to websites.
- Speech Recognition Libraries - Provides a programmatic interface for converting spoken audio into text and extracting command variables.
- Speech Recognition - Implements speech recognition by mapping spoken phrases to JavaScript functions on a website.
- Regular Expressions - Uses regular expression libraries for pattern matching transcribed speech to trigger commands.
- Voice Command Interfaces - Captures and interprets spoken language to trigger programmatic actions and callbacks in web applications.
- Hands-Free User Interfaces - Enables the creation of web experiences that can be navigated entirely without a mouse or keyboard.
- Voice Command Mapping - Associates specific spoken phrases or regular expressions with callback functions to trigger application behavior.
- Browser Voice Controllers - Provides a mechanism to manage microphone states and recognition events for hands-free browser control.
- Text-Based Command Dispatchers - Implements a system that maps spoken text patterns to specific JavaScript callback functions.
- Speech State Monitors - Tracks the real-time state of the speech engine (listening, idle, paused) to coordinate UI updates.
- Transcription Language Configurations - Allows defining the spoken language for the recognition engine to improve transcription accuracy.
- Capture Group Implementation - Uses regex capture groups to extract specific words from spoken phrases as arguments for functions.
- Variable Extraction - Implements extraction of specific words from spoken phrases using regular expression capture groups to pass as function arguments.
- Recognition Event Pipelines - Provides an event-driven pipeline to handle engine start, sound detection, and error events.
- Web Accessibility - Enables voice-driven shortcuts and commands to improve web accessibility for users with mobility impairments.
- Event Handling - Executes custom callbacks in response to recognition lifecycle events like sound detection and errors.
- Voice Interaction Interfaces - Renders a visual interface that displays real-time recognition status and provides voice command hints to the user.
- Voice Commands - Adds voice command support to websites.
- Voice Recognition - Adding voice command support via speech recognition.
