Qwen3 ASR — Voice Transcription
SkillMediaRust implementation of Qwen3-ASR automatic speech recognition
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Qwen3 ASR — Voice Transcription skill
What this skill tells your AI
The instructions your AI receives, as published by second-state/qwen3_asr_rs in skills/SKILL.md and read by ahel’s review.
Transcribe speech from audio files to text.
Binary
{baseDir}/scripts/asr— Speech-to-text transcription.
Models
{baseDir}/scripts/models/Qwen3-ASR-0.6B— Speech recognition model (0.6B parameters).
Transcription
Transcribe an audio file to text.
{baseDir}/scripts/asr \
{baseDir}/scripts/models/Qwen3-ASR-0.6B \
<audio_file>
Parameters
| Parameter | Required | Description |
|---|---|---|
| model_path | Yes | Path to the model directory (0.6B or 1.7B) |
| audio_file | Yes | Path to the audio file (any FFmpeg-supported format) |
Output
Prints the transcribed text to standard output.
Example
{baseDir}/scripts/asr \
{baseDir}/scripts/models/Qwen3-ASR-0.6B \
recording.wav
Supported Audio Formats
Any format supported by FFmpeg: WAV, MP3, M4A, FLAC, OGG, and more. Audio is automatically resampled to 16 kHz mono internally.
Workflow
1. Identify the Audio File
Get the path to the audio file the user wants to transcribe.
2. Run the Command
Run the asr binary with the full paths to the binary and model directory.
{baseDir}/scripts/asr \
{baseDir}/scripts/models/Qwen3-ASR-0.6B \
/path/to/audio.wav
3. Return the Transcription
The transcribed text is printed to stdout. Return it to the user.
Signals
- GitHub stars
- 252
- Forks
- 26
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
skills-second-state- Source
- github.com/second-state/qwen3_asr_rs