Introducing PerTh: A Combination of Perceptual and Threshold
PerTh is a sophisticated deep neural network watermarker developed by Resemble AI that embeds imperceptible data into generated speech content, creating an “invisible watermark”. This watermark is difficult to remove and provides a secure method to verify if a specific audio clip was generated by Resemble, thereby providing an added layer of protection against the misuse of AI-generated audio.
Harnessing the Power of Psychoacoustics
Frequency Sensitivity Exploitation
Our hearing sensitivity varies across different frequencies. By understanding this fundamental concept, PerTh ingeniously embeds more data into those frequencies to which we’re less sensitive. The result? A watermark that’s securely tucked away in the audio, undetectable to the human ear, yet entirely retrievable when needed.
Auditory Masking Unleashed
PerTh cleverly uses the principle of “auditory masking” to its advantage. When a loud sound (or masker sound) is played, quieter sounds nearby become imperceptible. PerTh leverages this effect to place watermarked data into these “masked” areas, ensuring the main audio content remains undisturbed.
Balancing Data Security with Audio Quality
With PerTh Watermarker, we’ve found the perfect balance between robust data security and uncompromised audio quality. By exploiting the principles of psychoacoustics, we provide an innovative watermarking solution that ensures your audio content’s authenticity without impacting the listening experience.
Integrating our cutting-edge PerTh Watermarker into your systems has never been easier, thanks to our user-friendly API. We’ve designed our API with simplicity and flexibility in mind, providing a seamless experience for businesses of all sizes and complexities.