Live Transcription
Real-time conversion of spoken language into text during audio capture, enabling immediate text output for meetings, lectures, or accessibility. Requires low-latency Automatic Speech Recognition (ASR) pipelines.
Key Requirements
- Sub-second latency for true real-time experience
- Robust speech-recognition models handling background noise
- Efficient hardware acceleration (GPU/CPU)
- Streaming audio input handling
Implementation Guides
- fahd-mirza’s guide for running
[[entities/whisper-ai|whisper]]-large-v3-turbo(fine-tuned, pruned Whisper (ASR model)) in google-colab for approximate real-time Automatic Speech Recognition (ASR): 2026 04 14 Fahd Mirza getting Whisper working on Google Colab