SBS Data Labs
An AI platform that deeply understands media
Four core features.All-in-one production tools.
AI Music
Recommendation
Context-aware music selection.Precision-matched to your broadcast.
21 acoustic attributes analyzed. Vector-based database. AI interprets mood and usage context with high accuracy.
Algorithmic track matching. Reduced selection time. Optimized immersion and production efficiency.
AI Music
Recognition
Audio DNA technology.
Precision analysis of tracks aired on radio.
Data-driven insights power listener playlists.
Actionable recommendations for producers.
Enhanced listening experience.
Smarter music decisions. Greater production efficiency.
Sponsorship Disclosure Portal
Sponsorship disclosures, detected automatically.
Aligned with broadcast regulations.
AI-powered scene analysis.
Precise recognition of subtitle position, size, and duration.
Automated compliance verification.
Content extraction included. Less manual monitoring. Higher accuracy. Greater efficiency.
Traditional method vs Data Labs,
what has changed?
Excessive time is spent on repetitive music selection tasks.
Manually checking each track aired on radio broadcasts.
Sponsorship disclosures are reviewed manually by watching the entire video from start to finish.
AI automatically selects music optimized for the broadcast mood.
Audio DNA technology precisely analyzes broadcasted tracks and delivers actionable insights.
From sponsorship detection to repetitive tasks, AI handles the workload.
Frequently Asked Questions
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What criteria does the AI use to select music?
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Built on a vector database structured around 21 acoustic attributes, the AI interprets broadcast mood and usage context to recommend the most suitable track.
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Can genres or moods be specified manually?
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"Enter the desired mood or context, and the AI filters tracks that match your criteria. Find music optimized for your content—quickly, without repetitive manual selection.
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Can it be applied to radio broadcasts as well?
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Using Audio DNA technology, music aired on radio broadcasts is precisely analyzed, providing clear data on which tracks were used and how frequently.
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How is music recognition data utilized?
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Based on this analysis, producers receive curation insights and recommendations—enabling more informed music selection decisions.
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How does the system detect sponsorship disclosures?
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Powered by OCR technology, the system analyzes video frames in real time, automatically recognizing and extracting any on-screen subtitle regardless of position.
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How is regulatory compliance verified?
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Detected subtitles are automatically cross-checked against broadcast regulations by size, placement, and duration to instantly verify compliance.
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