Agent skill

Aliyun Qwen Asr

A skill your agent uses when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (qwen3-asr-flash, qwen-audio-asr, qwen3-asr-flash-filetrans).

MITAuto-check passedAI & LLM Engineering

Install Aliyun Qwen Asr

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-asr --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai/audio/aliyun-qwen-asr .claude/skills/aliyun-qwen-asr && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "aliyun-qwen-asr" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-asr into .claude/skills/aliyun-qwen-asr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-asr", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-asr

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-asr --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai/audio/aliyun-qwen-asr .agents/skills/aliyun-qwen-asr && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "aliyun-qwen-asr" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-asr into .agents/skills/aliyun-qwen-asr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-asr", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-asr --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai/audio/aliyun-qwen-asr .cursor/skills/aliyun-qwen-asr && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "aliyun-qwen-asr" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-asr into .cursor/skills/aliyun-qwen-asr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-asr", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/cinience/alicloud-skills.git --path skills/ai/audio/aliyun-qwen-asr

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-asr --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai/audio/aliyun-qwen-asr .gemini/skills/aliyun-qwen-asr && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "aliyun-qwen-asr" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-asr into .gemini/skills/aliyun-qwen-asr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-asr", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-asr

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai/audio/aliyun-qwen-asr .github/skills/aliyun-qwen-asr && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "aliyun-qwen-asr" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-asr into .github/skills/aliyun-qwen-asr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-asr", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-asr --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai/audio/aliyun-qwen-asr .opencode/skills/aliyun-qwen-asr && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "aliyun-qwen-asr" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-asr into .opencode/skills/aliyun-qwen-asr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-asr", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: aliyun-qwen-asr
GitHub stars: 397
Token cost: ~1.3k tokens
SKILL.md length: 315 words
Files: 5 (incl. scripts, references)
Skills in repo: 96
Repo updated: Aug 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (qwen3-asr-flash, qwen-audio-asr, qwen3-asr-flash-filetrans).

Works in 4 steps: Confirm user intent, region,… → Run one minimal read-only query first to… → Execute the target operation with… → …
Transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (qwen3-asr-flash
SKILL.md covers Validation, Output And Evidence, Critical model names and Prerequisites, plus 7 more sections
Runs Python scripts from its folder; calls python, curl and python3; reaches dashscope.oss-cn-beijing.aliyuncs.com and dashscope.aliyuncs.com; needs DASHSCOPE_API_KEY

What it does

Aliyun Qwen Asr is an agent skill from cinience/alicloud-skills. Use when transcribing 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.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/api_reference.md` and `references/sources.md`).

It sits in AI & LLM Engineering, covering Speech recognition and synthesis and Transcription. It works with Qwen, Alibaba Cloud and OpenAI. The repository describes itself as: alibaba cloud skills，qwen ，wan and all skills. The licence is MIT.

When your agent uses it

Transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (qwen3-asr-flash
Qwen3-asr-flash-filetrans)
Converting recorded audio files to text
Generating transcripts with timestamps

Example prompts

“/aliyun-qwen-asr”

Requirements

Python 3
A credential in DASHSCOPE_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
Run one minimal read-only query first to verify connectivity and permissions.
Execute the target operation with explicit parameters and bounded scope.
Verify results and save output/evidence files.

What it can do on your machine

Read from SKILL.md and the folder at commit 1818263. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
- curl
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- dashscope.oss-cn-beijing.aliyuncs.com
- dashscope.aliyuncs.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- DASHSCOPE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aliyun Qwen Asr loads about 1.3k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 315 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~85
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from cinience/alicloud-skills at commit 1818263, republished under its MIT licence (© cinience). 315 words, ~1,316 tokens.

Download SKILL.mdSave it as .claude/skills/aliyun-qwen-asr/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: aliyun-qwen-asr
description: Use when transcribing 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.
version: 1.0.0

Category: provider

Model Studio Qwen ASR (Non-Realtime)

Validation

bash

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

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

Output And Evidence

Store transcripts and API responses under output/aliyun-qwen-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
qwen3-asr-flash-2026-02-10
qwen-audio-asr
qwen3-asr-flash-filetrans
qwen3-asr-flash-filetrans-2025-11-17

Selection guidance:

Use qwen3-asr-flash, qwen3-asr-flash-2026-02-10, or qwen-audio-asr for short/normal recordings (sync).
Use qwen3-asr-flash-filetrans or qwen3-asr-flash-filetrans-2025-11-17 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 transcription (OpenAI-compatible protocol):

bash

curl -sS --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions' \
  --header "Authorization: Bearer $DASHSCOPE_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen3-asr-flash",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "input_audio",
            "input_audio": {
              "data": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"
            }
          }
        ]
      }
    ],
    "stream": false,
    "asr_options": {
      "enable_itn": false
    }
  }'

Async long-file transcription (DashScope protocol):

bash

curl -sS --location 'https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription' \
  --header "Authorization: Bearer $DASHSCOPE_API_KEY" \
  --header 'X-DashScope-Async: enable' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen3-asr-flash-filetrans",
    "input": {
      "file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"
    }
  }'

Poll task result:

bash

curl -sS --location "https://dashscope.aliyuncs.com/api/v1/tasks/<task_id>" \
  --header "Authorization: Bearer $DASHSCOPE_API_KEY"

Local helper script

Use the bundled script for URL/local-file input and optional async polling:

bash

python skills/ai/audio/aliyun-qwen-asr/scripts/transcribe_audio.py \
  --audio "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" \
  --model qwen3-asr-flash \
  --language-hints zh,en \
  --print-response

Long-file mode:

bash

python skills/ai/audio/aliyun-qwen-asr/scripts/transcribe_audio.py \
  --audio "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3" \
  --model qwen3-asr-flash-filetrans \
  --async \
  --wait

Operational guidance

For local files, use input_audio.data (data URI) when direct URL is unavailable.
Keep language_hints minimal to reduce recognition ambiguity.
For async tasks, use 5-20s polling interval with max retry guard.
Save normalized outputs under output/aliyun-qwen-asr/transcripts/.

Output location

Default output: output/aliyun-qwen-asr/transcripts/
Override base dir with OUTPUT_DIR.

Workflow

Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
Run one minimal read-only query first to verify connectivity and permissions.
Execute the target operation with explicit parameters and bounded scope.
Verify results and save output/evidence files.

References

references/api_reference.md
references/sources.md
Realtime synthesis is provided by skills/ai/audio/aliyun-qwen-tts-realtime/.

Files

SKILL.md and 4 other files (scripts, references) in skills/ai/audio/aliyun-qwen-asr of cinience/alicloud-skills.

SKILL.md
agents/openai.yaml
references/api_reference.md
references/sources.md
scripts/transcribe_audio.py

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Qwen Asr next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aliyun Qwen Asr compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Aliyun Qwen Asr this skillcinience/alicloud-skills	397	—	~1.3k	Automated safety check: Pass	MIT	2 mo ago
Dy NoteRimagination/dy-note	172	—	~4.5k	Automated safety check: Pass	MIT	3 mo ago
Openai Whisper APItrpc-group/trpc-agent-go	1.9k	12 repos	~288	Automated safety check: Pass	Apache-2.0	yesterday
Azure AI Openai Dotnetmicrosoft/skills	3.1k	5 repos	~3.4k	Automated safety check: Pass	MIT	yesterday
Parakeet Sttsundial-org/awesome-openclaw-skills	663	—	~771	Automated safety check: Pass	None	7 mo ago
Whisper Speech RecognitionOrchestra-Research/AI-Research-SKILLs	13k	7 repos	~1.9k	Automated safety check: Notes	MIT	3 mo ago

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Works with

Questions about Aliyun Qwen Asr

What does Aliyun Qwen Asr do?

A skill your agent uses when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (qwen3-asr-flash, qwen-audio-asr, qwen3-asr-flash-filetrans). Aliyun Qwen Asr is an agent skill from cinience/alicloud-skills. Use when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (qwen3-asr-flash, qwen-audio-asr, qwen3-asr-flash-filetrans).

When should I use Aliyun Qwen Asr?

Aliyun Qwen Asr fits situations like: transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (qwen3-asr-flash; qwen3-asr-flash-filetrans); converting recorded audio files to text; generating transcripts with timestamps.

How do I install Aliyun Qwen Asr in Claude Code?

Run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a claude-code`. Or copy the skill folder (skills/ai/audio/aliyun-qwen-asr in cinience/alicloud-skills) into .claude/skills/aliyun-qwen-asr in your project. Claude Code loads it when a task matches its description.

How do I install Aliyun Qwen Asr in Codex?

Run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a codex`. Or copy the skill folder (skills/ai/audio/aliyun-qwen-asr in cinience/alicloud-skills) into .agents/skills/aliyun-qwen-asr in your project. Codex loads it when a task matches its description.

Can I use Aliyun Qwen Asr in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-asr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aliyun-qwen-asr, .gemini/skills/aliyun-qwen-asr, .github/skills/aliyun-qwen-asr and .opencode/skills/aliyun-qwen-asr in your project.

What does Aliyun Qwen Asr need to run?

Going by SKILL.md and its folder, Aliyun Qwen Asr needs Python for the scripts in its folder, the command-line tools its instructions call (python, curl and python3) and credentials named DASHSCOPE_API_KEY. Our summary lists: Python 3; A credential in DASHSCOPE_API_KEY.

Does Aliyun Qwen Asr access the network?

SKILL.md names 2 domains. In commands or code: dashscope.oss-cn-beijing.aliyuncs.com and dashscope.aliyuncs.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Aliyun Qwen Asr safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Aliyun Qwen Asr use?

Aliyun Qwen Asr is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aliyun Qwen Asr use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 573 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Qwen Asr?

Skills that share tags, products or a category with Aliyun Qwen Asr: Dy Note (Rimagination/dy-note, 172 stars), Openai Whisper API (trpc-group/trpc-agent-go, 1.9k stars), Azure AI Openai Dotnet (microsoft/skills, 3.1k stars) and Parakeet Stt (sundial-org/awesome-openclaw-skills, 663 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aliyun Qwen Asr?

cinience (a GitHub user) maintains it in cinience/alicloud-skills, which has 397 GitHub stars. The repository holds 96 skills in this directory. The repository was last updated on August 11, 2026.

Source: cinience/alicloud-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Aliyun Qwen Asr

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Model Studio Qwen ASR (Non-Realtime)

Validation

Output And Evidence

Critical model names

Prerequisites

Normalized interface (asr.transcribe)

Request

Response

Quick start (official HTTP API)

Local helper script

Operational guidance

Output location

Workflow

References

Files

Compare with similar skills

Similar skills

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Questions about Aliyun Qwen Asr