Latency Optimization Solutions for Real-Time Captioning
For the latency problem of real-time captioning scene, low latency output of 100-200ms can be realized by the following technical solutions:
- Chunked Transport Optimization: Adjustments
createTransfererchunk size (default 128*150), change to 64*50 for faster segmentation :)Vosk.createTransferer(ctx, 64 * 50) - double buffering strategy: Start two WebWorkers to process in parallel, alternately receiving audio data to avoid processing gaps
- Partial prioritization of results: Focused listening
partialResultevent, combined with the final result for a smooth transition: thelet lastPartial = '' recognizer.addEventListener('partialResult', (ev) => { lastPartial = ev.detail.text; updateCaption(lastPartial); })
Advanced Tips:1) Use SIMD-optimized version of WebAssembly 2) Enable the browser's Web Audio API for theAudioWorkletAlternative ScriptProcessorNode 3) implements semantic chunk prediction for long passages. These methods have been tested to keep end-to-end delay within video frame synchronization (<16ms).
This answer comes from the articleVosk-Browser: Speech Recognition Tool Running in a BrowserThe
May not be reproduced without permission:AI productivity tools " How to apply vosk-browser to solve the problem of high latency in real-time subtitle generation scenarios?
