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Aliyun Qwen Asr Realtime

by @cinience

Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, li...

Versionv1.0.0
Downloads424
TERMINAL
clawhub install aliyun-qwen-asr-realtime

πŸ“– About This Skill


name: aliyun-qwen-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/aliyun-qwen-asr-realtime
python -m py_compile skills/ai/audio/aliyun-qwen-asr-realtime/scripts/prepare_realtime_asr_request.py && echo "py_compile_ok" > output/aliyun-qwen-asr-realtime/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-asr-realtime/validate.txt is generated.

Output And Evidence

  • Save session payloads and response samples under output/aliyun-qwen-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/aliyun-qwen-asr-realtime/scripts/prepare_realtime_asr_request.py \
      --output output/aliyun-qwen-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/aliyun-qwen-asr/ instead.
  • References

  • references/sources.md
  • ⚑ When to Use

    TriggerAction
    - Voice-agent duplex input
    - Streaming speech-to-text in browser or terminal clients

    πŸ’‘ Examples

    Generate a request template:

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

    βš™οΈ Configuration

  • 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.
  • πŸ”’ Constraints

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

    Pass criteria: command exits 0 and output/aliyun-qwen-asr-realtime/validate.txt is generated.