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Transcribe non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (`qwen3-asr-flash`, `qwen-audio-asr`, `qwen3-asr-flash-filetrans`). Use when converting recorded audio files to text, generating transcripts with timestamps, or documenting DashScope/OpenAI-compatible ASR request and response fields.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install cinience/alicloud-ai-audio-asr打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Category: provider
mkdir -p output/alicloud-ai-audio-asr
python -m py_compile skills/ai/audio/alicloud-ai-audio-asr/scripts/transcribe_audio.py && echo "py_compile_ok" > output/alicloud-ai-audio-asr/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-audio-asr/validate.txt is generated.
output/alicloud-ai-audio-asr/.Use Qwen ASR for recorded audio transcription (non-realtime), including short audio sync calls and long audio async jobs.
Use one of these exact model strings:
qwen3-asr-flash
qwen-audio-asr
qwen3-asr-flash-filetrans
Selection guidance:
qwen3-asr-flash or qwen-audio-asr for short/normal recordings (sync).qwen3-asr-flash-filetrans for long-file transcription (async task workflow).python3 -m venv .venv
. .venv/bin/activate
DASHSCOPE_API_KEY in environment, or add dashscope_api_key to ~/.alibabacloud/credentials.audio (string, required): public URL or local file path.model (string, optional): default qwen3-asr-flash.language_hints (array, optional): e.g. zh, en.sample_rate (number, optional)vocabulary_id (string, optional)disfluency_removal_enabled (bool, optional)timestamp_granularities (array, optional): e.g. sentence.async (bool, optional): default false for sync models, true for qwen3-asr-flash-filetrans.text (string): normalized transcript text.task_id (string, optional): present for async submission.status (string): SUCCEEDED or submission status.raw (object): original API response.Sync trans...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Category: provider # Model Studio Qwen ASR (Non-Realtime) ## Validation ```bash mkdir -p output/alicloud-ai-audio-asr python -m py_compile skills/ai/audio/alicloud-ai-audio-asr/scripts/transcribe_audio.py && echo "py_compile_ok" > output/alicloud-ai-audio-asr/validate.txt ``` Pass criteria: command exits 0 and `output/alicloud-ai-audio-asr/validate.txt` is generated. ## Output And Evidence - Store transcripts and API responses under `output/alicloud-ai-audio-asr/`. - Keep one command log or sample response per run. Use Qwen ASR for recorded audio transcription (non-realtime), including short audio sync calls and long audio async jobs. ## Critical model names Use one of these exact model strings: - `qwen3-asr-flash` - `qwen-audio-asr` - `qwen3-asr-flash-filetrans` Selection guidance: - Use `qwen3-asr-flash` or `qwen-audio-asr` for short/normal recordings (sync). - Use `qwen3-asr-flash-filetrans` for long-file transcription (async task workflow). ## Prerequisites - Install SDK dependencies (script uses Python stdlib only): ```bash python3 -m venv .venv . .venv/bin/activate ``` - Set `DASHSCOPE_API_KEY` in environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials`. ## Normalized interface (asr.transcribe) ### Request - `audio` (string, required): public URL or local file path. - `model` (string, optional): default `qwen3-asr-flash`. - `language_hints` (array<string>, optional): e.g. `zh`, `en`. - `sample_rate` (number, optional) - `vocabulary_id` (string, optional) - `disfluency_removal_enabled` (bool, optional) - `timestamp_granularities` (array<string>, optional): e.g. `sentence`. - `async` (bool, optional): default false for sync models, true for `qwen3-asr-flash-filetrans`. ### Response - `text` (string): normalized transcript text. - `task_id` (string, optional): present for async submission. - `status` (string): `SUCCEEDED` or submission status. - `raw` (object): original API response. ## Quick start (official HTTP API) Sync trans...
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