Token confidence scores for automatic speech recognition

A speech recognition system that automatically detects and corrects low-confidence transcription errors by evaluating token-level confidence scores and substituting likely alternatives using neural models. Confidence signals are also surfaced through a user interface to support data labeling and dictionary enhancement.