OpenClaw

chichi-speech

A RESTful service for high-quality text-to-speech using Qwen3 and specialized voice cloning. Optimized for reusing a specific voice prompt to avoid re-computation.

hudeven0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install hudeven/chichi-speech

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Chichi Speech Service

This skill provides a FastAPI-based REST service for Qwen3 TTS, specifically configured for reusing a high-quality reference audio prompt for efficient and consistent voice cloning. This service is packaged as an installable CLI.

Installation

Prerequisites: python >= 3.10.

pip install -e .

Usage

1. Start the Service

The service runs on port 9090 by default.

# Start the server (runs in foreground, use & for background or a separate terminal)
# Optional: Uudate to your own reference audio and text for voice cloning
chichi-speech --port 9090 --host 127.0.0.1 --ref-audio "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone_2.wav" --ref-text "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."

2. Verify Service is Running

Check the health/docs:

curl http://localhost:9090/docs

3. Generate Speech

Use cURL:

curl -X POST "http://localhost:9090/synthesize" \
     -H "Content-Type: application/json" \
     -d '{
           "text": "Nice to meet you",
           "language": "English"
         }' \
     --output output/nice_to_meet.wav

Functionality

Endpoint: POST /synthesize
Default Port: 9090
Voice Cloning: Uses a pre-computed voice prompt from reference files to ensure the cloned voice is consistent and generation is fast.

Requirements

Python 3.10+
qwen-tts (Qwen3 model library)
Access to a reference audio file for voice cloning.
- By default, it uses public sample audio from Qwen3.
- CRITICAL: You can provide your own reference audio using the --ref-audio and --ref-text flags.

来源信息

Source: github
Repository: openclaw/skills
Path: skills/hudeven/chichi-speech
Version: —
Commit: 9835eff7b7c562ff5da01f47654b22b8a1576847
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Chichi Speech Service

This skill provides a FastAPI-based REST service for Qwen3 TTS, specifically configured for reusing a high-quality reference audio prompt for efficient and consistent voice cloning. This service is packaged as an installable CLI.

## Installation

Prerequisites: `python >= 3.10`.

```bash
pip install -e .
```

## Usage

### 1. Start the Service

The service runs on port **9090** by default.

```bash
# Start the server (runs in foreground, use & for background or a separate terminal)
# Optional: Uudate to your own reference audio and text for voice cloning
chichi-speech --port 9090 --host 127.0.0.1 --ref-audio "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone_2.wav" --ref-text "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."
```

### 2. Verify Service is Running
Check the health/docs:
```bash
curl http://localhost:9090/docs
```

### 3. Generate Speech

Use cURL:
```bash
curl -X POST "http://localhost:9090/synthesize" \
     -H "Content-Type: application/json" \
     -d '{
           "text": "Nice to meet you",
           "language": "English"
         }' \
     --output output/nice_to_meet.wav
```

## Functionality

-   **Endpoint**: `POST /synthesize`
-   **Default Port**: 9090
-   **Voice Cloning**: Uses a pre-computed voice prompt from reference files to ensure the cloned voice is consistent and generation is fast.

## Requirements

-   Python 3.10+
-   `qwen-tts` (Qwen3 model library)
-   Access to a reference audio file for voice cloning.
    -   By default, it uses public sample audio from Qwen3.
    -   **CRITICAL**: You can provide your own reference audio using the `--ref-audio` and `--ref-text` flags.

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