arXiv AI
Jun 11
Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions
arXiv:2606. 11828v1 Announce Type: cross Abstract: Audio watermarking aims to embed identifiable information into audio while remaining imperceptible.
Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions
Audio watermarking aims to embed identifiable information into audio while remaining imperceptible. Existing methods adopt high-fidelity, low-energy designs to preserve perceptual quality, but the resulting watermarks lack robustness under suppression by speech reconstruction models.
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arXiv AI
Jun 26
Latent-Mark: An Audio Watermark Robust to Neural Codec Compression
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Hugging Face Trending Papers
Jul 13
MusicMark: A Robust Generative Watermarking Framework for Music Generation
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arXiv AI
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MusicMark: A Robust Generative Watermarking Framework for Music Generation
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arXiv AI
Aug 11
The Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection
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Hugging Face Trending Papers
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The Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection
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Hugging Face Trending Papers
Jun 3
CleanCodec: Efficient and Robust Speech Tokenization via Perceptually Guided Encoding
Neural audio codecs are a key component of speech processing pipelines, compressing audio into discrete tokens for downstream modeling. However, existing codecs struggle to balance reconstruction quality with token efficiency, often encoding perceptually irrelevant information such as background noise and recording artifacts at the expense of linguistically and acoustically meaningful content.
arXiv AI
Jun 6
Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition
arXiv:2606. 05678v1 Announce Type: cross Abstract: Automatic speech recognition (ASR) systems have become widely used for multilingual speech-to-text transcription.
arXiv Machine Learning
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OLIVE: View-Augmented Latent Prediction with Waveform Reconstruction for Speech SSL
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arXiv AI
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arXiv:2608. 09593v1 Announce Type: cross Abstract: Recent advances in speech synthesis and audio generation have made high-fidelity acoustic forgery low-cost and difficult to attribute, enabling a realistic attack scenario in which speech and background audio are independently manipulated over otherwise authentic video.
arXiv AI
Jul 7
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arXiv AI
Jul 21
Do Speech Tokens Leak Voiceprints? Speaker Inversion Attacks Against End-to-End Speech Language Models
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