Smark: A Watermark for Text-to-Speech Diffusion Models via Discrete Wavelet Transform
Analysis
This article introduces Smark, a watermarking technique for text-to-speech (TTS) models. It utilizes the Discrete Wavelet Transform (DWT) to embed a watermark, potentially for copyright protection or content verification. The focus is on the technical implementation within diffusion models, a specific type of generative AI. The use of DWT suggests an attempt to make the watermark robust and imperceptible.
Key Takeaways
- •Smark is a watermarking technique for text-to-speech models.
- •It uses Discrete Wavelet Transform (DWT) for watermark embedding.
- •The goal is likely copyright protection or content verification.
- •The technique is applied within diffusion models.
Reference
“The article is likely a technical paper, so a direct quote is not readily available without access to the full text. However, the core concept revolves around embedding a watermark using DWT within a TTS diffusion model.”