Overview
- Skill Key
- godzff/feishu-voice-lobster
- Author
- godzff
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/godzff/feishu-voice-lobster
- Latest Commit SHA
- 07a1dae2943ce33220e3ae2fbc9f40df1485a0c6
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
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 Feishu Voice Lobster 技能。 若已安装,则直接安装 Feishu Voice Lobster 技能。
# Feishu Voice Skill - 飞书语音交互技能
## 概述
本技能用于实现飞书与 ElevenLabs 的语音交互,包括:
- 语音转文字(用户发语音 → 识别内容)
- 文字转语音(生成语音回复用户)
- 飞书语音消息的收发
---
## 1. 环境配置
### 1.1 ElevenLabs API Key
```bash
export ELEVENLABS_API_KEY="你的API Key"
```
### 1.2 FFmpeg 安装
```bash
apt-get update && apt-get install -y ffmpeg
```
---
## 2. 语音转文字(用户语音识别)
### 2.1 下载飞书语音
用户发送语音时,收到的是 `file_key`,需要通过以下步骤下载:
```bash
TOKEN=$(curl -s -X POST "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal" \
-H "Content-Type: application/json; charset=utf-8" \
-d '{"app_id":"你的app_id","app_secret":"你的app_secret"}' | grep -o '"tenant_access_token":"[^"]*"' | cut -d'"' -f4)
# 下载语音文件
curl -s "https://open.feishu.cn/open-apis/im/v1/messages/{message_id}/resources/{file_key}?type=file" \
-H "Authorization: Bearer $TOKEN" -o /path/to/voice.ogg
```
### 2.2 ElevenLabs 语音转文字
```bash
curl -s -X POST "https://api.elevenlabs.io/v1/speech-to-text?enable_logging=true" \
-H "xi-api-key: ${ELEVENLABS_API_KEY}" \
-F model_id="scribe_v1" \
-F file=@/path/to/voice.ogg
```
返回结果包含 `text` 字段,即识别出的文字内容。
---
## 3. 文字转语音
### 3.1 ElevenLabs TTS 生成
```bash
curl -s -X POST "https://api.elevenlabs.io/v1/text-to-speech/pNInz6obpgDQGcFmaJgB" \
-H "Content-Type: application/json" \
-H "xi-api-key: ${ELEVENLABS_API_KEY}" \
-d '{
"text": "要转换的文字",
"model_id": "eleven_multilingual_v2"
}' -o /path/to/output.mp3
```
### 3.2 转换为飞书兼容格式
飞书语音需要 **Ogg/Opus 格式**,需要用 FFmpeg 转换:
```bash
ffmpeg -i input.mp3 -ar 16000 -ac 1 -acodec libopus output.ogg -y
```
---
## 4. 发送语音消息(飞书)
### 4.1 Node.js 实现
```javascript
const { Client } = require('@larksuiteoapi/node-sdk');
const fs = require('fs');
const client = new Client({
appId: '你的appId',
appSecret: '你的appSecret',
});
async function sendVoice(fil...
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