💻 programming

AudioSeal

Localized watermark technology for AI-generated speech audio

#AI generated
#audio editing
#robustness
#Real-time detection
#Voice watermark
AudioSeal

Product Details

AudioSeal is a localized watermarking technology for AI-generated speech audio with state-of-the-art robustness and extremely fast detection speed. By jointly training a watermark-embedded generator and a detector, it can detect watermarked segments in longer audio even in the presence of audio editing. AudioSeal designed a fast single-pass detector that is two orders of magnitude faster than existing models, making it ideal for large-scale and real-time applications.

Main Features

1
Generator: inputs an audio signal and outputs a watermark of the same size, which can be added to the input for watermark processing.
2
Detector: Inputs an audio signal and outputs the probability of whether each sample in the audio contains a watermark.
3
Supports encoding of 16-bit secret messages, optionally embedded in watermarks.
4
The detector outputs a secret message encoded in the watermark.
5
Rapid detection for large-scale and real-time applications.
6
Training code is provided, allowing users to build their own watermark models.

How to Use

1
1. Install the required Python environment and dependent libraries.
2
2. Clone the AudioSeal repository from GitHub or install via PyPI.
3
3. Load the AudioSeal generator and detector models.
4
4. Use the generator to watermark the audio signal.
5
5. Use the detector to detect the watermark audio and obtain the probability of watermark existence.
6
6. If necessary, decode the secret message from the detector output.
7
7. Train your own watermark model as needed or use the provided model.

Target Users

AudioSeal is suitable for developers and enterprises who need to copyright protection and verification of AI-generated speech audio. It is particularly suitable for real-time monitoring and management of large-scale audio content, such as in the music industry, podcasts, audiobooks, etc.

Examples

The music industry uses AudioSeal to protect original works from unauthorized copying and distribution.

Podcast creators utilize AudioSeal to ensure the integrity and authenticity of their content.

The audiobook platform uses AudioSeal technology to ensure copyright and trace the source of audio content.

Quick Access

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Categories

💻 programming
› AI audio editing
› AI audio enhancer

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