OpenClaw

alicloud-ai-audio-asr-realtime

Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.

cinience0 来源安装数☆ 0 仓库 Starsv1.0.0

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 cinience/alicloud-ai-audio-asr-realtime

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

Category: provider

Model Studio Qwen ASR Realtime

Validation

mkdir -p output/alicloud-ai-audio-asr-realtime
python -m py_compile skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py && echo "py_compile_ok" > output/alicloud-ai-audio-asr-realtime/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-audio-asr-realtime/validate.txt is generated.

Output And Evidence

Save session payloads and response samples under output/alicloud-ai-audio-asr-realtime/.

Critical model names

Use one of these exact model strings:

qwen3-asr-flash-realtime
qwen3-asr-flash-realtime-2026-02-10

Use cases

Realtime subtitles and captions
Voice-agent duplex input
Streaming speech-to-text in browser or terminal clients

Prerequisites

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Realtime sessions generally require WebSocket or streaming session handling in the client.

Normalized interface (asr.realtime)

Request

model (string, optional): default qwen3-asr-flash-realtime
language_hints (array, optional)
format (string, optional): e.g. pcm, wav
sample_rate (int, optional): e.g. 16000
chunk_ms (int, optional): frame size in milliseconds

Response

text (string): recognized transcript fragment
is_final (bool): finalization marker
usage (object, optional)

Quick start

Generate a request template:

python skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py \
  --output output/alicloud-ai-audio-asr-realtime/request.json

Operational guidance

Prefer 16kHz mono PCM unless your client stack requires another format.
Keep chunks small enough for responsive partial results.
If you only have recorded files, use skills/ai/audio/alicloud-ai-audio-asr/ instead.

References

references/sources.md

来源信息

Source: github
Repository: openclaw/skills
Path: skills/cinience/alicloud-ai-audio-asr-realtime
Version: 1.0.0
Commit: 7f8e36aa59e9017a2575fa730fb811154c6d1765
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

Category: provider

# Model Studio Qwen ASR Realtime

## Validation

```bash
mkdir -p output/alicloud-ai-audio-asr-realtime
python -m py_compile skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py && echo "py_compile_ok" > output/alicloud-ai-audio-asr-realtime/validate.txt
```

Pass criteria: command exits 0 and `output/alicloud-ai-audio-asr-realtime/validate.txt` is generated.

## Output And Evidence

- Save session payloads and response samples under `output/alicloud-ai-audio-asr-realtime/`.

## Critical model names

Use one of these exact model strings:
- `qwen3-asr-flash-realtime`
- `qwen3-asr-flash-realtime-2026-02-10`

## Use cases

- Realtime subtitles and captions
- Voice-agent duplex input
- Streaming speech-to-text in browser or terminal clients

## Prerequisites

- Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials`.
- Realtime sessions generally require WebSocket or streaming session handling in the client.

## Normalized interface (asr.realtime)

### Request
- `model` (string, optional): default `qwen3-asr-flash-realtime`
- `language_hints` (array<string>, optional)
- `format` (string, optional): e.g. `pcm`, `wav`
- `sample_rate` (int, optional): e.g. `16000`
- `chunk_ms` (int, optional): frame size in milliseconds

### Response
- `text` (string): recognized transcript fragment
- `is_final` (bool): finalization marker
- `usage` (object, optional)

## Quick start

Generate a request template:

```bash
python skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py \
  --output output/alicloud-ai-audio-asr-realtime/request.json
```

## Operational guidance

- Prefer 16kHz mono PCM unless your client stack requires another format.
- Keep chunks small enough for responsive partial results.
- If you only have recorded files, use `skills/ai/audio/alicloud-ai-audio-asr/` instead.

## References

- `references/sources.md`

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