About This Architecture

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.

People also ask

How do you build a production speech-to-text correction pipeline with Delta Lake medallion architecture and LLM post-processing?

This diagram shows a three-tier medallion architecture where raw audio ingests via streaming or batch into Bronze (Raw Transcriptions), flows through ASR models and LLM correction in Processing, then gates to Silver (Corrected Transcriptions) and Gold (Analytics-Ready) tiers via data quality checks. Corrected transcriptions serve APIs and dashboards while model metrics feed MLflow registry for con