audio-7
Audio Fingerprint
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Neural Audio Fingerprint for High-Specific Audio Retrieval Based on Contrastive Learning
Jeongsoon Park, Sungkyun Chang, Donmoon Lee, Hyungui Lim, Kyogu Lee, Karam Ko, Yoonchang Han•Wed Oct 21 2020
This work generates a low-dimensional representation from a short unit segment of audio, and couple this fingerprint with a fast maximum inner-product search, and presents a contrastive learning framework that derives from the segment-level search objective.
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