Audiodedupe2501withserial Top Jun 2026

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We present AudioDedupe2501WithSerial Top, a scalable audio deduplication system that combines robust perceptual hashing, efficient similarity indexing, and serial-top priority handling for deterministic conflict resolution. The system targets large music and speech repositories, achieving high recall with low false positives while supporting streaming ingestion and meta-driven prioritization via serial top ordering. We evaluate on multi-genre music and spoken-word datasets, showing ≥98% duplicate detection accuracy and indexing/query throughput suitable for production deployments. audiodedupe2501withserial top

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AudioDedupe2501WithSerial Top offers an effective, scalable approach to audio deduplication that combines dual perceptual hashing, ANN indexing, and deterministic serial-top canonicalization. Results demonstrate strong accuracy and production-ready throughput. We evaluate on multi-genre music and spoken-word datasets,

: For a clean library, 95% similarity is usually the "sweet spot" to avoid false positives. Preview Before Deleting