ASR Correction Data Pipeline implements a Bronze-Silver-Gold medallion architecture for automated speech recognition with LLM-based correction. Audio input flows through Whisper/wav2vec2 ASR models into raw transcriptions, then through preprocessing and GPT-4/T5 correction models before quality checks gate data into Delta Lake tiers. Corrected transcriptions serve real-time APIs and analytics dashboards while model performance metrics feed observability and MLflow registry for continuous improvement. Fork this diagram to customize ASR models, adjust quality thresholds, or integrate your own LLM correction layer.