Error Rate measures how often an AI system produces incorrect results. In Voice AI, different error rates evaluate speech recognition, intent classification, speaker identification, and conversational performance.
Voice AI teams monitor Error Rates throughout development and production to compare models, identify regressions, and improve system quality. Lower error rates generally indicate more reliable AI performance.