A Hysteresis Threshold uses separate activation and deactivation thresholds to prevent rapid switching between speech and silence detection. This stabilizes voice activity detection in noisy environments.
Voice AI systems apply Hysteresis Thresholds within voice activity detection and endpoint detection algorithms to reduce false triggers and improve recognition reliability during live conversations.