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Data · dataset · 2026

Same Bits, Different Verdict: The Decoder in Speech Deepfake Detection

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<p dir="ltr">Speech deepfake detectors consume decoded waveforms, but for coded speech the bitstream is what was transmitted; which rendering of it the detector sees belongs to the receiver.

Description

Decoding a bit-identical Opus bitstream with libopus 1.6.1’s stronger optional decoder-side post-filter enabled rather than disabled shifts class-mean detector scores toward the synthetic class in 20 of 20 detector–class–corpus cells, with no packet loss and no change to a transmitted byte.

At a threshold transferred from the unenhanced rendering at a 1% false-alarm target, false alarms rise in all eight cells; one public detector goes from 1.00% to 3.80% while its equal-error rate moves only from 0.30% to 0.40%. The shift is not a monotone rescaling that recalibration absorbs: items cross the threshold in both directions, and equal-error rate moves in every cell. On held-out data a stale threshold multiplies false alarms by 1.7 to 3.8.

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Refitting recovers the target rate, but no corpus, protocol or file header records that the configuration changed.</p><p dir="ltr"><br>This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.</p>

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Inferred from text
Audio 65%
Provenance · 1 source records, 8 field assertions
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ZivaHuboai:figshare.com:article/340181345 d agoJSON v1
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concepts[modality].local:modality:audioenrichment · zivahub uct ac zakeyword-concept-rules@1.0.0title+description (65%)
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