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 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

Source Notes

• 2026-04-14: # Fahd Mirza - getting Whisper working on Google Colab --- --- https://www.youtube.com/watch?v=0Rdf2XA9G9Y Real time ASR - automated speech recognition This video provides a comprehensive guide on perf (Fahd Mirza - getting Whisper working on Google Colab)