OpenClaw

salute-speech

Transcribe audio files using Sber Salute Speech async API. Russian-first STT with support for ru-RU, en-US, kk-KZ, ky-KG, uz-UZ.

chorus120 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 chorus12/salute-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

Audio Transcription with Sber Salute Speech

Transcribe audio/video files to text with timestamps via Salute Speech async REST API.

Requirements

API Key: Environment variable SALUTE_AUTH_DATA must be set (Base64-encoded client_id:client_secret or raw authorization key from https://developers.sber.ru/studio/).
SSL note: The script disables SSL verification by default (verify_ssl=False) because Sber's certificate chain is non-standard. This is expected.

Supported formats & encodings

Audio encoding	Content-Type	Typical extensions
`MP3`	`audio/mpeg`	`.mp3`
`PCM_S16LE`	`audio/wav`	`.wav`
`OPUS`	`audio/ogg`	`.ogg`, `.opus`
`FLAC`	`audio/flac`	`.flac`
`ALAW`	`audio/alaw`	`.alaw`
`MULAW`	`audio/mulaw`	`.mulaw`

Supported languages

ru-RU, en-US, kk-KZ (Kazakh), ky-KG (Kyrgyz), uz-UZ (Uzbek).

Workflow

Identify input files — from user request.
Read API key from host environment.
Run transcription — execute salute_transcribe.py with uv and appropriate arguments.
Deliver results — present to user human-readable transcript with timestamps to the user and give a direct link to files.

Usage

uv run --with requests {baseDir}/salute_transcribe.py \
  --file /path/to/audio.mp3 \
  --output_dir ~/.openclaw/workspace/transcriptions \
  --lang ru-RU

Arguments

Argument	Required	Default	Description
`--file`	Yes	—	Path to audio/video file
`--output_dir`	No	`~/.openclaw/workspace/transcribations`	Output directory for results
`--lang`	No	`ru-RU`	Language code: `ru-RU`, `en-US`, `kk-KZ`, `ky-KG`, `uz-UZ`
`--audio-encoding`	No	`MP3`	Codec: `MP3`, `PCM_S16LE`, `OPUS`, `FLAC`, `ALAW`, `MULAW`
`--model`	No	`general`	Recognition model: `general` or `callcenter`
`--hyp-count`	N...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/chorus12/salute-speech
Version: —
Commit: 2ee62a3f1218c86e31d29413b2f6b7953d998be6
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

# Audio Transcription with Sber Salute Speech

Transcribe audio/video files to text with timestamps via Salute Speech async REST API.

## Requirements

- **API Key**: Environment variable `SALUTE_AUTH_DATA` must be set (Base64-encoded `client_id:client_secret` or raw authorization key from https://developers.sber.ru/studio/).
- **SSL note**: The script disables SSL verification by default (`verify_ssl=False`) because Sber's certificate chain is non-standard. This is expected.

## Supported formats & encodings

| Audio encoding | Content-Type | Typical extensions |
|---------------|-------------|--------------------|
| `MP3` | `audio/mpeg` | `.mp3` |
| `PCM_S16LE` | `audio/wav` | `.wav` |
| `OPUS` | `audio/ogg` | `.ogg`, `.opus` |
| `FLAC` | `audio/flac` | `.flac` |
| `ALAW` | `audio/alaw` | `.alaw` |
| `MULAW` | `audio/mulaw` | `.mulaw` |

## Supported languages

`ru-RU`, `en-US`, `kk-KZ` (Kazakh), `ky-KG` (Kyrgyz), `uz-UZ` (Uzbek).

## Workflow

1. **Identify input files** — from user request.
2. **Read API key** from host environment.
3. **Run transcription** — execute `salute_transcribe.py` with `uv` and appropriate arguments.
4. **Deliver results** — present to user human-readable transcript with timestamps to the user and give a direct link to files.

## Usage

```bash
uv run --with requests {baseDir}/salute_transcribe.py \
  --file /path/to/audio.mp3 \
  --output_dir ~/.openclaw/workspace/transcriptions \
  --lang ru-RU
```

### Arguments

| Argument | Required | Default | Description |
|----------|----------|---------|-------------|
| `--file` | **Yes** | — | Path to audio/video file |
| `--output_dir` | No | `~/.openclaw/workspace/transcribations` | Output directory for results |
| `--lang` | No | `ru-RU` | Language code: `ru-RU`, `en-US`, `kk-KZ`, `ky-KG`, `uz-UZ` |
| `--audio-encoding` | No | `MP3` | Codec: `MP3`, `PCM_S16LE`, `OPUS`, `FLAC`, `ALAW`, `MULAW` |
| `--model` | No | `general` | Recognition model: `general` or `callcenter` |
| `--hyp-count` | N...

搜索