We are looking to enhance our audio processing application by integrating wake word detection into our existing live rolling window transcription system. The goal is to efficiently detect specified wake words ("Hey Siri"-like functionality) using client-side VAD to start and stop sending audio data to the server for processing.
Current Implementation
Live Rolling Window Transcription: The system currently supports live transcription with a rolling window that ensures continuous and smooth transcription without cutting off words.
Partial VAD Implementation: There is existing VAD code implemented in another part of the application. This needs to be adapted and integrated with the audio streaming service to control the capture and transmission of audio data based on detected sound levels.
Proposed Implementation
Client-Side
Enhance VAD: Modify and integrate the existing VAD code to actively monitor audio input for volume levels that exceed a predefined threshold.
Start streaming audio to the server once the volume threshold is exceeded.
Stop streaming when the volume falls below the threshold for a certain duration, indicating the end of a potential command or query.
Feedback Mechanism: Implement visual or auditory feedback to indicate when the system is actively listening and when the wake word has been detected.
Server-Side
Wake Word Processing:
Implement a mechanism to process incoming audio chunks in real-time, looking for the wake word.
Use the rolling buffer mechanism to ensure no part of the wake word is missed due to processing delays.
Wake Word Detection:
Upon detecting the wake word, send an immediate notification back to the client to initiate further action.
Optimize the processing algorithm to reduce latency and improve real-time response capabilities.
Goals
Efficiency: Ensure the system uses resources only when necessary, reducing computational load by avoiding constant streaming and processing.
User Experience: Provide clear indications when the system is listening to and processing user commands, improving interaction quality and responsiveness.
Additional Considerations
Testing and Calibration: Extensive testing is required to calibrate the VAD sensitivity and ensure reliable wake word detection across different operating environments and user voices.
Scalability and Performance: Evaluate the system's performance under varying loads and potentially scale up resources to handle multiple simultaneous users efficiently.
Next Steps
Review the existing VAD implementation and plan its integration.
Design and implement the server-side processing enhancements for real-time wake word detection.
Develop a prototype and conduct initial testing with a limited user group to gather feedback and make necessary adjustments.
Overview
We are looking to enhance our audio processing application by integrating wake word detection into our existing live rolling window transcription system. The goal is to efficiently detect specified wake words ("Hey Siri"-like functionality) using client-side VAD to start and stop sending audio data to the server for processing.
Current Implementation
Proposed Implementation
Client-Side
Server-Side
Goals
Additional Considerations
Next Steps