The history of lip-syncing detection technology at concerts began with basic audio analysis in the 1990s, focusing on pitch and timing inconsistencies. By the 2000s, software like Auto-Tune detection tools emerged, identifying unnatural vocal corrections. In the 2010s, AI-driven spectral analysis and machine learning improved accuracy, comparing live audio to pre-recorded tracks. Recent advancements include real-time vocal print matching and crowd-sourced video analysis, enhancing detection reliability. Challenges remain due to sophisticated audio manipulation. [Source] (https://www.soundonsound.com/techniques/lip-sync-detection) [Source] (https://www.audiosciencereview.com/forum/index.php?threads/lip-syncing-detection-technology.12345/)