Qwen3-ASR

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3605 stars · 352 forks observed · 2026-09-26

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Qwen3-ASR is a family of open-source speech recognition models from Alibaba's Qwen team, supporting ASR and language identification across 52 languages plus a forced-alignment model for text-speech alignment in 11 languages. It ships as a Python package with Transformers and vLLM backends, streaming inference, fine-tuning support, and a companion toolkit for high-throughput API transcription of long audio.

Use cases

• transcribe audio to text in multiple languages
• add subtitles with timestamps to videos
• detect the spoken language of an audio clip
• transcribe songs and music vocals
• align transcripts with audio using forced alignment
• batch transcribe long audio files
• fine-tune a speech recognition model on custom data

When to choose

• you need multilingual speech recognition with language detection and timestamps
• you want open-weight ASR models you can self-host with vLLM or Transformers
• you need forced alignment between text and speech
• you transcribe music or songs, not just speech

When to avoid

• you need a tiny on-device model for mobile or embedded hardware
• you only need simple English-only transcription with minimal setup
• you lack GPU resources and cannot use a hosted API

Facets

library · maturity active

speech-recognition machine-learning llm-inference speech-processing machine-learning python cross-platform asr forced-alignment multilingual timestamps language-identification vllm transformers music-recognition fine-tuning natural-language-processing audio gpu docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="QwenLM/Qwen3-ASR")