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Asymmetric Phase Coding Audio Watermarking

NeurIPS 2026 · Adversarial robustness and security › Attacks on text and graphs · approach: Neural network watermarking · 0 citations (OpenAlex)

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Proposes Asymmetric Phase Coding, a training-free audio watermark that embeds an Ed25519-signed, Reed-Solomon-protected payload via STFT phase bins plus a redundant magnitude-QIM channel, evaluated on LibriSpeech and 18 corpora against neural baselines.

Problem

Deepfake audio undermines voice authentication; passive detectors fail under evolving generators and channel distortion, and existing audio watermarks lack public-key non-repudiation and carry only short payloads.

Approach

Combine an Ed25519 signature and RS code with pseudo-random STFT phase-bin embedding and a disjoint-bin magnitude QIM channel on log-magnitude bin-pair differences, giving blind, training-free, publicly verifiable signed watermarks that survive lossy codecs.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: LibriSpeech test-clean TED-LIUM MUSDB18-HQ AMI

Benchmarks: LibriSpeech test-clean (1000 clips, 8 attacks) 18-corpus expansion (2021 clips)

Metrics: Verify% BER NC PESQ STOI SNR LSD latency

Baselines: AudioSeal WavMark SilentCipher phase-only APC coder

Builds on: Ed25519 quantization index modulation phase coding Reed-Solomon codes C2PA

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