antirez/qwen-asr
C inference for Qwen3-ASR 0.6b and 1.7b transcriptions models
C594 stars74 forks
What it does
The Qwen3-ASR repository provides a pure C implementation for speech-to-text transcription using Qwen3-ASR models. It is lightweight, requiring minimal dependencies, and supports both offline and streaming modes, making it accessible for various hardware setups.
Star history
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Tracking
- Last trending
- 2026-02-21
Creator kit
Hook
Transform audio into text effortlessly with Qwen3-ASR's lightweight C implementation!
Content angles
- Create a tutorial on how to set up Qwen3-ASR for real-time transcription.
- Compare the performance of Qwen3-ASR's 0.6B and 1.7B models on different hardware.
- Develop a video showcasing the integration of Qwen3-ASR with ffmpeg for audio processing.
Who should care
Developers and researchers interested in speech recognition and audio processing.