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Alicloud Ai Audio Asr Realtime

基于阿里云Model Studio的通义千问实时ASR技能,核心为低延迟流式语音转文字,采用qwen3-asr-flash-realtime系列模型。典型场景包括实时字幕、语音代理双工输入、浏览器/终端流式语音转文字。输入可指定模型、语言提示等参数,输出含识别文本片段、最终标记等。需配置DASHSCOPE_API_KEY,依赖WebSocket或流式会话处理,会话数据保存至指定目录。

cinience
cinience
热度 54.90
最近更新 2026-05-11 17:30:28
分类:效率依赖:代码执行 / 第三方 API应用场景:API 集成 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add alicloud-ai-audio-asr-realtime
Metadata
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, 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