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https://github.com/facebookresearch/audioseal

\n

you can also pip install audioseal

\n","updatedAt":"2024-01-31T09:22:54.587Z","author":{"_id":"60338cdfb5883695ce9d0916","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60338cdfb5883695ce9d0916/BXbJKt_UwoFnh7xB4ewHs.jpeg","fullname":"Hady Elsahar","name":"hadyelsahar","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":21}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.7999864816665649},"editors":["hadyelsahar"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/60338cdfb5883695ce9d0916/BXbJKt_UwoFnh7xB4ewHs.jpeg"],"reactions":[],"isReport":false}},{"id":"65ba317798bd7a573be377eb","author":{"_id":"644e1b1d9b4e87c31bab0a14","avatarUrl":"/avatars/88bb4c4a67dc8958069e9014f5e73a0b.svg","fullname":"Michael Barry","name":"MichaelBarryUK","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":7},"createdAt":"2024-01-31T11:39:35.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Are the troublemakers compelled to use watermarked LLMs, or are they free to use non-watermarked models? ","html":"

Are the troublemakers compelled to use watermarked LLMs, or are they free to use non-watermarked models?

\n","updatedAt":"2024-01-31T11:39:35.420Z","author":{"_id":"644e1b1d9b4e87c31bab0a14","avatarUrl":"/avatars/88bb4c4a67dc8958069e9014f5e73a0b.svg","fullname":"Michael Barry","name":"MichaelBarryUK","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":7}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.903719425201416},"editors":["MichaelBarryUK"],"editorAvatarUrls":["/avatars/88bb4c4a67dc8958069e9014f5e73a0b.svg"],"reactions":[],"isReport":false}},{"id":"65ba34c01d7d1717cc4dd435","author":{"_id":"6032802e1f993496bc14d9e3","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6032802e1f993496bc14d9e3/w6hr-DEQot4VVkoyRIBiy.png","fullname":"Omar Sanseviero","name":"osanseviero","type":"user","isPro":false,"isHf":false,"isHfAdmin":true,"isMod":false,"followerCount":3289},"createdAt":"2024-01-31T11:53:36.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Interesting! Check this out @reach-vb ","html":"

Interesting! Check this out \n\n@reach-vb\n\t

\n","updatedAt":"2024-01-31T11:53:36.527Z","author":{"_id":"6032802e1f993496bc14d9e3","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6032802e1f993496bc14d9e3/w6hr-DEQot4VVkoyRIBiy.png","fullname":"Omar Sanseviero","name":"osanseviero","type":"user","isPro":false,"isHf":false,"isHfAdmin":true,"isMod":false,"followerCount":3289}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.46625614166259766},"editors":["osanseviero"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/6032802e1f993496bc14d9e3/w6hr-DEQot4VVkoyRIBiy.png"],"reactions":[],"isReport":false}},{"id":"65baf2e5b30c170eb1f32376","author":{"_id":"63d3e0e8ff1384ce6c5dd17d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg","fullname":"Librarian Bot (Bot)","name":"librarian-bot","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":264},"createdAt":"2024-02-01T01:24:53.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Detecting Voice Cloning Attacks via Timbre Watermarking](https://huggingface.co/papers/2312.03410) (2023)\n* [Benchmarking the Robustness of Image Watermarks](https://huggingface.co/papers/2401.08573) (2024)\n* [Cross-Attention Watermarking of Large Language Models](https://huggingface.co/papers/2401.06829) (2024)\n* [Robust Image Watermarking using Stable Diffusion](https://huggingface.co/papers/2401.04247) (2024)\n* [EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection](https://huggingface.co/papers/2312.08883) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`","html":"

This is an automated message from the Librarian Bot. I found the following papers similar to this paper.

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AudioSeal employs\na generator/detector architecture trained jointly with a localization loss to\nenable localized watermark detection up to the sample level, and a novel\nperceptual loss inspired by auditory masking, that enables AudioSeal to achieve\nbetter imperceptibility. AudioSeal achieves state-of-the-art performance in\nterms of robustness to real life audio manipulations and imperceptibility based\non automatic and human evaluation metrics. 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Papers
arxiv:2401.17264

Proactive Detection of Voice Cloning with Localized Watermarking

Published on Jan 30, 2024
· Submitted by AK on Jan 31, 2024

Abstract

AudioSeal is an audio watermarking technique that uses a generator/detector architecture to detect AI-generated speech with high robustness and imperceptibility, offering fast detection.

AI-generated summary

In the rapidly evolving field of speech generative models, there is a pressing need to ensure audio authenticity against the risks of voice cloning. We present AudioSeal, the first audio watermarking technique designed specifically for localized detection of AI-generated speech. AudioSeal employs a generator/detector architecture trained jointly with a localization loss to enable localized watermark detection up to the sample level, and a novel perceptual loss inspired by auditory masking, that enables AudioSeal to achieve better imperceptibility. AudioSeal achieves state-of-the-art performance in terms of robustness to real life audio manipulations and imperceptibility based on automatic and human evaluation metrics. Additionally, AudioSeal is designed with a fast, single-pass detector, that significantly surpasses existing models in speed - achieving detection up to two orders of magnitude faster, making it ideal for large-scale and real-time applications.

Community

Paper author

code is available https://github.com/facebookresearch/audioseal

you can also pip install audioseal

Are the troublemakers compelled to use watermarked LLMs, or are they free to use non-watermarked models?

Interesting! Check this out @reach-vb

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