# Xiaohongshu Open-Sources Speech Synthesis Base Model dots.tts

- Category: Flash (快讯)
- Published: 2026-08-13T11:52:00.000Z
- Source date: 2026-08-13
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Xiaohongshu's dots team and Shanghai Jiao Tong University's X-LANCE Lab jointly open-sourced dots.tts, a 2-billion-parameter, fully continuous latent space autoregressive TTS base model. The model does not rely on discrete acoustic tokens, achieves SOTA on the zero-shot voice cloning benchmark Seed-TTS-Eval, and supports timbre fine-tuning and speech editing.

## At a glance

- dots.tts is a 2-billion-parameter fully continuous latent space autoregressive model that does not rely on discrete acoustic tokens
- It achieved SOTA on the Seed-TTS-Eval zero-shot benchmark and supports timbre fine-tuning and speech editing

## The update

The dots team at Xiaohongshu, in collaboration with the X-LANCE Lab at Shanghai Jiao Tong University, has officially open-sourced dots.tts, a speech synthesis base model. Featuring 2 billion parameters, the model utilizes a fully continuous latent space autoregressive architecture. Unlike traditional approaches, dots.tts does not rely on discrete acoustic tokens, enabling smoother generation. It achieved state-of-the-art performance on the Seed-TTS-Eval benchmark for zero-shot voice cloning. Furthermore, the model offers high flexibility, supporting timbre fine-tuning and direct speech editing, providing developers with a powerful foundational tool.

## Sources

- [机器之心](https://mp.weixin.qq.com/s/OMV1laUJ599AGrHo3Okq0Q) (2026-08-13)

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