# TraceableSpeech: Towards Proactively Traceable Text-to-Speech with Watermarking

arXiv: https://arxiv.org/abs/2406.04840 · HTML: https://mlsanity.com/paper/2406.04840/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Jun 2024.

## Built on by (most cited first, 7 of 7)

- [SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI](https://mlsanity.com/paper/2411.11478/) (2024)
- [SOLIDO: A Robust Watermarking Method for Speech Synthesis via Low-Rank Adaptation](https://mlsanity.com/paper/2504.15035/) (2025)
- [VocBulwark: Towards Practical Generative Speech Watermarking via Additional-Parameter Injection](https://mlsanity.com/paper/2601.22556/) (2026)
- [TriniMark: A Robust Generative Speech Watermarking Method for Trinity-Level Traceability](https://mlsanity.com/paper/2504.20532/) (2025)
- [Efficient Speech Watermarking for Speech Synthesis via Progressive Knowledge Distillation](https://mlsanity.com/paper/2509.19812/) (2025)
- [Smark: A Watermark for Text-to-Speech Diffusion Models via Discrete Wavelet Transform](https://mlsanity.com/paper/2512.18791/) (2025)
- [MusicMark: A Robust Generative Watermarking Framework for Music Generation](https://mlsanity.com/paper/2607.11117/) (2026)

## Abstract (arXiv)

Various threats posed by the progress in text-to-speech (TTS) have prompted the need to reliably trace synthesized speech. However, contemporary approaches to this task involve adding watermarks to the audio separately after generation, a process that hurts both speech quality and watermark imperceptibility. In addition, these approaches are limited in robustness and flexibility. To address these problems, we propose TraceableSpeech, a novel TTS model that directly generates watermarked speech, improving watermark imperceptibility and speech quality. Furthermore, We design the frame-wise imprinting and extraction of watermarks, achieving higher robustness against resplicing attacks and temporal flexibility in operation. Experimental results show that TraceableSpeech outperforms the strong baseline where VALL-E or HiFicodec individually uses WavMark in watermark imperceptibility, speech quality and resilience against resplicing attacks. It also can apply to speech of various durations. The code is avaliable at https://github.com/zjzser/TraceableSpeech