mlsanityData to 7 Oct 2026

Variable-Length Audio Fingerprinting

arXiv 2603.23947 ↗First posted 25 Mar 2026cs.SD cs.AI cs.MMcited by 0

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Abstract (arXiv)

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 supports variable-length fingerprinting. To the best of our knowledge, VLAFP is the first deep audio fingerprinting model capable of processing audio of variable length, for both training and testing. Our experiments show that VLAFP outperforms existing state-of-the-arts in live audio identification and audio retrieval across three real-world datasets.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 25 of its 43 references that are in the map. First posted on arXiv 25 Mar 2026.

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References · 25

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13 more
  1. 2024The Faiss librarycited by 370
  2. 2024Byte Latent Transformer: Patches Scale Better Than Tokenscited by 137
  3. 2024Fantastic Copyrighted Beasts and How (Not) to Generate Themcited by 23
  4. 2020Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learningcited by 16
  5. 2024I Can Hear You: Selective Robust Training for Deepfake Audio Detectioncited by 12
  6. 2018Learning to Recognize Musical Genre from Audiocited by 9
  7. 2022Attention-Based Audio Embeddings for Query-by-Examplecited by 8
  8. 2024GraFPrint: A GNN-Based Approach for Audio Identificationcited by 7
  9. 2021RawNeXt: Speaker verification system for variable-duration utterances with deep layer aggregation and extended dynamic scaling policiescited by 6
  10. 2022Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identificationcited by 6
  11. 2025Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identificationcited by 4
  12. 2023Robust and lightweight audio fingerprint for Automatic Content Recognitioncited by 2
  13. 2024Digital Fingerprinting on Multimedia: A Surveycited by 2

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