AI RESEARCH
Variable-Length Audio Fingerprinting
arXiv CS.AI
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ArXi:2603.23947v1 Announce Type: cross Audio fingerprinting converts audio to much lower-dimensional representations, allowing distorted recordings to still be recognized as their originals through similar fingerprints. Existing deep learning approaches rigidly fingerprint fixed-length audio segments, thereby neglecting temporal dynamics during segmentation. To address limitations due to this rigidity, we propose Variable-Length Audio FingerPrinting (VLAFP), a novel method that s variable-length fingerprinting.