Overview
- Skill Key
- gs431047/voice2text
- Author
- gs431047
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/gs431047/voice2text
- Latest Commit SHA
- 1ff3ee3e8e9348658aaf8187408aa39ecbf23e4b
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 Voice2Text 技能。 若已安装，则直接安装 Voice2Text 技能。
Extracted Content
SKILL.md excerpt
# voice2text
slug: voice2text
title: Voice to Text
description: Offline speech-to-text skill using Vosk local model.
author: lxxtad
license: MIT
**入口**: `main.py` implements `run(params)` – pass `{"audio":"path/to.wav"}` and get `{"text":"transcript"}`.
**依赖**: `vosk`, `pytest`.
**使用示例**:
```bash
clawhub install voice2text
clawhub run voice2text '{"audio":"sample.wav"}'
```
README excerpt
# voice2text
离线语音转文字技能（Python + Vosk）
## 介绍
本项目演示如何使用 **Vosk** 离线模型实现语音转文字，并在 **ClawHub** 中封装为可发布的技能。
## 快速上手
```bash
# 安装依赖
pip install -r requirements.txt
# 运行示例（确保有 sample.wav）
python main.py '{"audio": "sample.wav"}'
```
## 目录结构
```
voice2text/
├─ main.py # 技能入口
├─ package.json # ClawHub 元信息
├─ requirements.txt # Python 依赖
├─ model/ # 下载的 Vosk 模型（自行放置）
└─ tests/
└─ test_main.py # 单元测试
```
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