alicloud-ai-audio-asr-realtime

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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.

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Sourcecinience/alicloud-skills
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NPX Install

npx skill4agent add cinience/alicloud-skills alicloud-ai-audio-asr-realtime

Tags

Translated version includes tags in frontmatter
asr-realtimealibaba-cloud-qwenspeech-recognitionstreaming-speechvoice-agent

SKILL.md Content

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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