A Confidence Score estimates how certain an AI model is that its prediction or transcription is correct. Higher scores generally indicate greater reliability for recognized speech or generated results.
Voice AI systems use Confidence Scores to evaluate speech recognition results, trigger clarification requests, and determine when human review is required. They improve overall reliability and conversation quality.