Variable-Length Audio Fingerprinting

arXiv:2603.23947 · cs.SD, cs.AI, cs.MM · Submitted 2026-03-25 · Read on arXiv

cs.SD, cs.AI, cs.MM

Submitted: 2026-03-25

Updated: 2026-08-29

Comments: Accepted to ACM MM 2026

Code: https://github.com/worldveil/dejavu

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fingerprinting — 74× in this paper · explained in 2 episodes
• Embeddings — 23× in this paper · explained in 2 episodes
• Transformer — 17× in this paper · explained in 2 episodes
• F1 Score — 11× in this paper · explained in 3 episodes
• Contrastive Learning — 6× in this paper · explained in 5 episodes
• Dummy-Target Retrieval — 6× in this paper
• Robustness — 6× in this paper · explained in 5 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Ablation study — 5× in this paper · explained in 1 episode
• Impulse Response Convolution — 5× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Time Stretching — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Self-Supervised Learning — 2× in this paper · explained in 7 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Broadcast Audio Fingerprinting — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• False Negatives — 1× in this paper
• False Positives — 1× in this paper
• Free Music Archive — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Setup of Commercial-Broadcast Retrieval — 1× in this paper
• True Positives — 1× in this paper
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• Digital Fingerprinting on Multimedia: A Survey
• Robust and lightweight audio fingerprint for Automatic Content Recognition
• Learning to Recognize Musical Genre from Audio
• Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification
• The Faiss library
• AST: Audio Spectrogram Transformer
• Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
• SUPERB: Speech processing Universal PERformance Benchmark
• Byte Latent Transformer: Patches Scale Better Than Tokens
• Attention-Based Audio Embeddings for Query-by-Example

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