Automated Top-of-the-Hour Station ID Scheduling in Liquidsoap Audio Streams
Pain Points (Public)
Online radio broadcasters struggle to reliably trigger legal or branded station identification audio precisely at the top of the hour using Liquidsoap and AutoDJ software. Generic AI-generated scripts fail to handle Liquidsoap's stream-switching paradigms, leading to abrupt track cutoffs, audio buffer drops, or timing drift that misses the hourly mark.
Suggested Approach (Public)
Implement custom Liquidsoap configuration scripts using clock-based predicates and dynamic switch transitions. The setup accurately schedules top-of-hour station jingles, intelligently soft-fades or waits for active tracks to finish, and smoothly falls back to the AutoDJ rotation without listener stream interruptions.
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Public Demand Evidence · 2 task(s)
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