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xiami2019 merged 5 commits into from
Nov 4, 2025
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Update v0.7 links #91

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e573ee3
update v0.7
rulerman Oct 31, 2025
b5fc87d
update v0.7
rulerman Oct 31, 2025
7d567c1
format
xiami2019 Nov 3, 2025
f396a52
update links
xiami2019 Nov 4, 2025
73266fa
Merge branch 'main' into update
xiami2019 Nov 4, 2025
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9 changes: 5 additions & 4 deletions README.md
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</p>
<a href="https://www.open-moss.com/en/moss-ttsd/"><img src="https://img.shields.io/badge/Blog-Read%20More-green" alt="blog"></a>
<a href="https://www.open-moss.com/en/moss-ttsd/"><img src="https://img.shields.io/badge/Paper-Coming%20Soon-orange" alt="paper"></a>
<a href="https://huggingface.co/fnlp/MOSS-TTSD-v0.5"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model%20Page-yellow" alt="Hugging Face"></a>
<a href="https://huggingface.co/spaces/fnlp/MOSS-TTSD"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue" alt="Hugging Face Spaces"></a>
<a href="https://github.com/"><img src="https://img.shields.io/badge/Python-3.10+-orange" alt="version"></a>
<a href="https://github.com/OpenMOSS/MOSS-TTSD"><img src="https://img.shields.io/badge/PyTorch-2.0+-brightgreen" alt="python"></a>
<a href="https://github.com/OpenMOSS/MOSS-TTSD"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="mit"></a>
<br>
<a href="https://huggingface.co/fnlp/MOSS-TTSD-v0.7"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20MOSS%20TTSD%20-v0.7-yellow" alt="MOSS-TTSD-v0.5"></a>
</div>

# MOSS-TTSD 🪐
Expand All @@ -24,7 +25,7 @@
MOSS-TTSD (text to spoken dialogue) is an open-source bilingual spoken dialogue synthesis model that supports both Chinese and English.
It can transform dialogue scripts between two speakers into natural, expressive conversational speech.
MOSS-TTSD supports voice cloning and long single-session speech generation, making it ideal for AI podcast production, interviews, and chats.
For detailed information about the model and demos, please refer to our [Blog-en](https://www.open-moss.com/en/moss-ttsd/) and [中文博客](https://www.open-moss.com/cn/moss-ttsd/). You can also find the model on [Hugging Face](https://huggingface.co/fnlp/MOSS-TTSD-v0.5) and try it out in the [Spaces demo](https://huggingface.co/spaces/fnlp/MOSS-TTSD).
For detailed information about the model and demos, please refer to our [Blog-en](https://www.open-moss.com/en/moss-ttsd/) and [中文博客](https://www.open-moss.com/cn/moss-ttsd/). You can also find the model on [Hugging Face](https://huggingface.co/fnlp/MOSS-TTSD-v0.7) and try it out in the [Spaces demo](https://huggingface.co/spaces/fnlp/MOSS-TTSD).

## Highlights

Expand All @@ -36,7 +37,7 @@ MOSS-TTSD supports voice cloning and long single-session speech generation, maki

## News 🚀

- **[2025-11-01]** MOSS-TTSD v0.7 is released! v0.7 significantly improves audio quality, voice cloning capability, and stability, adds support for 32 kHz high‑quality output, greatly extends single‑pass generation length (960s→1700s), and more reliably generates speech events following speaker tags. We recommend using the v0.7 model by default.
- **[2025-11-01]** MOSS-TTSD v0.7 is released! v0.7 significantly improves audio quality, voice cloning capability, and stability, adds support for 32 kHz high‑quality output, greatly extends single‑pass generation length (960s→1700s). We recommend using the v0.7 model by default. [MOSS-TTSD v0.7 Model Address](https://huggingface.co/fnlp/MOSS-TTSD-v0.7)
- **[2025-09-09]** We supported SGLang inference engine to accelerate model inference by up to **16x**.
- **[2025-08-25]** We released the 32khz version of XY-Tokenizer.
- **[2025-08-12]** We add support for streaming inference in MOSS-TTSD v0.5.
Expand All @@ -59,7 +60,7 @@ pip install flash-attn

### Download XY-Tokenizer

You also need to download the XY Tokenizer model weights. You can find the weights in the [XY_Tokenizer repository](https://huggingface.co/fnlp/XY_Tokenizer_TTSD_V0_32k).
You also need to download the XY Tokenizer model weights. You can find the weights in the [XY-Tokenizer-TTSD version repository](https://huggingface.co/fnlp/MOSS_TTSD_tokenizer).

```bash
mkdir -p XY_Tokenizer/weights
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9 changes: 5 additions & 4 deletions README_zh.md
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</p>
<a href="https://www.open-moss.com/cn/moss-ttsd/"><img src="https://img.shields.io/badge/博客-阅读更多-green" alt="blog"></a>
<a href="https://www.open-moss.com/en/moss-ttsd/"><img src="https://img.shields.io/badge/Paper-Coming%20Soon-orange" alt="paper"></a>
<a href="https://huggingface.co/fnlp/MOSS-TTSD-v0.5"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-模型页-yellow" alt="Hugging Face"></a>
<a href="https://huggingface.co/spaces/fnlp/MOSS-TTSD"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue" alt="Hugging Face Spaces"></a>
<a href="https://github.com/"><img src="https://img.shields.io/badge/Python-3.10+-orange" alt="version"></a>
<a href="https://github.com/OpenMOSS/MOSS-TTSD"><img src="https://img.shields.io/badge/PyTorch-2.0+-brightgreen" alt="python"></a>
<a href="https://github.com/OpenMOSS/MOSS-TTSD"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="mit"></a>
<br>
<a href="https://huggingface.co/fnlp/MOSS-TTSD-v0.7"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20MOSS%20TTSD%20-v0.7-yellow" alt="MOSS-TTSD-v0.5"></a>
</div>

# MOSS-TTSD 🪐
Expand All @@ -22,7 +23,7 @@
## 概述

MOSS-TTSD（text to spoken dialogue）是一个开源的中英双语口语对话合成模型，可以将包含两位说话人的对话脚本转换为自然、富有表现力的对话语音。MOSS-TTSD支持双说话人零样本音色克隆与长时间单段语音生成，非常适合播客，访谈，聊天等对话场景。
详细模型介绍与演示请见我们的[中文博客](https://www.open-moss.com/cn/moss-ttsd/)和[Blog-en](https://www.open-moss.com/en/moss-ttsd/)。模型权重在 [Hugging Face](https://huggingface.co/fnlp/MOSS-TTSD-v0.5) 提供，并可在 [Spaces 演示](https://huggingface.co/spaces/fnlp/MOSS-TTSD) 在线体验。
详细模型介绍与演示请见我们的[中文博客](https://www.open-moss.com/cn/moss-ttsd/)和[Blog-en](https://www.open-moss.com/en/moss-ttsd/)。模型权重在 [Hugging Face](https://huggingface.co/fnlp/MOSS-TTSD-v0.7) 提供，并可在 [Spaces 演示](https://huggingface.co/spaces/fnlp/MOSS-TTSD) 在线体验。

## 亮点

Expand All @@ -34,7 +35,7 @@ MOSS-TTSD（text to spoken dialogue）是一个开源的中英双语口语对话

## 最新动态 🚀

- **[2025-11-01]** 我们发布了 MOSS-TTSD v0.7：显著提升了音质、声音克隆能力与稳定性，支持32khz高音质输出，并大幅拓展了单次生成长度（960s->1700s），更够比较稳定地根据说话人标签生成语音事件。
- **[2025-11-01]** 我们发布了 MOSS-TTSD v0.7：显著提升了音质、声音克隆能力与稳定性，支持32khz高音质输出，并大幅拓展了单次生成长度（960s->1700s）。我们推荐默认使用MOSS-TTSD v0.7版本。[MOSS-TTSD v0.7 模型地址](https://huggingface.co/fnlp/MOSS-TTSD-v0.7)
- **[2025-09-09]** 我们支持了 SGLang 推理引擎加速模型推理，最高可加速**16倍**。
- **[2025-08-25]** 我们发布了 32khz XY-Tokenizer。
- **[2025-08-12]** 我们支持了 MOSS-TTSD v0.5 的流式推理。
Expand All @@ -57,7 +58,7 @@ pip install flash-attn

### 下载 XY-Tokenizer 权重

首先需要下载 XY-Tokenizer 的Codec模型权重，见 [XY_Tokenizer仓库](https://huggingface.co/fnlp/XY_Tokenizer_TTSD_V0_32k)。
首先需要下载 XY-Tokenizer 的Codec模型权重，见[XY-Tokenizer-TTSD版本仓库](https://huggingface.co/fnlp/MOSS_TTSD_tokenizer)。

```bash
mkdir -p XY_Tokenizer/weights
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