pith:P5L3DCNW
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios
A data augmentation strategy improves audio deepfake detection performance under codec compression and packet loss.
arxiv:2504.12423 v4 · 2025-04-16 · eess.AS · eess.SP
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\usepackage{pith}
\pithnumber{P5L3DCNWU7XFSRAOAYLDGHVN7X}
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Record completeness
Claims
Experimental results demonstrated that the proposed approach significantly enhances the performance of ADD systems on the proposed ADD-C dataset.
The combinations of audio codecs and packet loss rates used to build the ADD-C dataset accurately represent the degradations that occur in actual real-world communication channels.
The paper creates ADD-C benchmark dataset for audio deepfake detection under codec compression and packet loss, shows baseline degradation, and demonstrates a data augmentation method that boosts robustness.
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Receipt and verification
| First computed | 2026-06-12T01:09:08.073367Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f57b189b6a7ee59440e0616331eadfddaf45ef145a4e2e7b04631c27d39a4fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5L3DCNWU7XFSRAOAYLDGHVN7X \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7f57b189b6a7ee59440e0616331eadfddaf45ef145a4e2e7b04631c27d39a4fb
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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