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// Skill profile

Model Studio Qwen ASR Realtime

Name: Model Studio Qwen ASR Realtime
Author: cinience

name: alicloud-ai-audio-asr-realtime

by cinience · published 2026-03-22

API集成

Total installs

Stars

★ 0

Last updated

2026-03

// Install command

$ claw add gh:cinience/cinience-alicloud-ai-audio-asr-realtime

View on GitHub

// Full documentation

---

name: alicloud-ai-audio-asr-realtime

description: 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.

version: 1.0.0

---

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<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:

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`

// Comments

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