netease-youdao/Confucius4-R2T2
automatic-speech-recognition model by netease-youdao
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From the publisher
Model card & documentation
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Confucius4-R2T2 is a low-latency and high-accuracy true streaming Automatic Speech Recognition (ASR) model that features fine-grained and configurable decoding chunks from 80 ms to 2 s. The model operates in append-only output mode: committing transcript text permanently without revising previous words, which is critical for applications where text must be processed or acted upon instantly. This results in a smoother user experience, avoiding disruptive text revisions and visual flickering in real-time applications, such as Real-Time Live Captioning & Subtitling, Downstream NLP Pipelines & LLM Agents, Simultaneous Speech Translation, etc. R2T2, short for Real Real-Time Transcription, is built upon the Qwen3-ASR model. And it is trained with a unique set of data construction techniques including stable-prefix data, forced time-alignment data, and token-level audio segmentation. Combined with a Longest Stable Prefix (LSP) learning paradigm (tech report will be released soon), R2T2 can dynamically determine when a stable prefix can be safely emitted…
Read the full model card ↗ · Preview checked 2026-10-29T21:19:21.607Z
Inside the original model card — Document outline
- Table of Contents
- Overview
- Demo
- Side-by-side comparison with GPT-Live-Transcribe
- Additional resources
- Evaluation
- Streaming performance
- Accuracy
- English
- Chinese
- Installation
- Clone the repository
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Model overview
netease-youdao/Confucius4-R2T2 is a automatic-speech-recognition model repository published by netease-youdao on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- Not reported
- Recent downloads (30 days)
- 16,408
- Cumulative likes
- 516
- Hugging Face trending score
- 53
- Reported safetensors parameters
- 2,038,052,480
- Architecture
- Qwen3ASRForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-10T12:16:21.000Z
- Last modified
- 2026-09-17T10:00:27.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3-ASR-1.7B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-05T06:38:48.905Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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