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

output/alicloud-ai-audio-asr-realtime/validate.txt

Output And Evidence

• Save session payloads and response samples under

  output/alicloud-ai-audio-asr-realtime/

  .

Critical model names

• 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

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