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pith:P5L3DCNW

pith:2025:P5L3DCNWU7XFSRAOAYLDGHVN7X
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Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios

Haohan Shi, Safak Dogan, Saif Alzubi, Tianjin Huang, Xiyu Shi, Yunxiao Zhang

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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\pithnumber{P5L3DCNWU7XFSRAOAYLDGHVN7X}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Experimental results demonstrated that the proposed approach significantly enhances the performance of ADD systems on the proposed ADD-C dataset.

C2weakest assumption

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.

C3one line summary

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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1 paper in Pith

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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

arxiv: 2504.12423 · arxiv_version: 2504.12423v4 · doi: 10.48550/arxiv.2504.12423 · pith_short_12: P5L3DCNWU7XF · pith_short_16: P5L3DCNWU7XFSRAO · pith_short_8: P5L3DCNW
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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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    "abstract_canon_sha256": "f6f139a484e5566dc1535cdb6f514e0afe4fd5912f2741993795c33b081a3cd8",
    "cross_cats_sorted": [
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.AS",
    "submitted_at": "2025-04-16T18:44:05Z",
    "title_canon_sha256": "2c9732c5116f246ef5967ea519b7b93632980ba750f669bf9babe2b4073bbd19"
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  "source": {
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    "kind": "arxiv",
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