Audiodedupe2501withserial Top

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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. : Keep the high-quality version and toss the low-quality one