Project Description: This project involves the implementation of an audio component within an existing React/Node.js application. The component is designed to leverage Azure's voice recognition services for real-time and record-then-send voice processing capabilities. The key focus is on integrating this component seamlessly with the existing application infrastructure while ensuring high performance and security standards.
Component Functionality: Audio Playback and Recording: The component should be capable of playing and recording sounds.
Real-Time Voice Recognition: Utilize Azure's voice recognition service for real-time speech-to-text conversion. The component should have a parameter to toggle between recording then sending for processing and real-time processing.
Signal Visualization: Display a visual indicator (like a vibrating microphone or sound waves) to signify recording or processing. This is a proof of concept; detailed design will be refined later.
Display Recognized Text: Real-time display of text recognized by Azure's voice recognition service.
Microphone Control: Include mute and unmute functionalities. The design for this can be basic, as it will be enhanced later.
Azure Integration and Security: Azure Voice Recognition Integration: Ensure the component is fully integrated with Azure voice recognition services, capable of both record-then-send and real-time processing.
Token Generation and Management: Follow Azure's best practices for token generation and management for security purposes. This should align with the patterns demonstrated in the provided Azure sample.
Token Refresh Strategy: Implement a strategy for token refresh to maintain continuous service access without manual intervention.
Design and Usability: Basic Design Implementation: The initial design should be a simple proof of concept. The focus is on functionality; detailed design will be implemented later.
User Interface Elements: Include essential UI elements for recording, playback, muting/unmuting the microphone, and displaying the recognized text.
Technical Requirements and Integration: React and Node.js Integration: The component will be part of a React application with a Node.js backend. Ensure compatibility and efficient interaction between the front-end and back-end, especially for token exchange.
Error Handling: Implement robust error handling, especially for speech recognition, to ensure the reliability of the application.
Localization Support: The component should be capable of changing the recognition language, catering to a diverse user base.
Documentation and Samples:
Reference Existing Samples: Leverage insights and patterns from the provided samples (react-voice-recorder-player and AzureSpeechReactSample) to guide the development process. https://www.npmjs.com/package/react-voice-recorder-player and https://github.com/AbreezaSaleem/react-voice-recorder-player https://github.com/Azure-Samples/AzureSpeechReactSample
Environment Setup: Include documentation for setting up the environment, installing necessary dependencies, and configuring the application with Azure Speech keys and region.
Scalability and Performance: Optimize for Performance: Ensure the component is optimized for efficient performance, particularly in handling real-time voice processing. Scalability Considerations: Design the component with scalability in mind, allowing for future enhancements and integration with additional features or services.
