netease-youdao/Confucius4-R2T2 — new model trending #28 on Hugging Face
NetEase Youdao releases Confucius4-R2T2, a true streaming speech recognition model built on Qwen3-ASR with 200-600 ms latency and append-only output.
Confucius4-R2T2 ('Real Real-Time Transcription') is a streaming automatic speech recognition model from NetEase Youdao built on Qwen3-ASR, featuring configurable decoding chunks from 80 ms to 2 s and an append-only output mode that commits transcript text permanently without revisions. It reports 200-600 ms average latency with accuracy close to offline recognition, and claims state-of-the-art latency and recognition quality among open-source models while remaining competitive with leading closed-source systems. The model is optimized for Chinese and English, supports context and hotword prompts, and ships with vLLM and Hugging Face transformers backends plus WebSocket streaming inference code under a NetEase model license and Apache 2.0 code license.
- Streaming ASR with 200-600 ms average latency and near-offline accuracy
- Configurable decoding chunks from 80 ms to 2 seconds for latency/accuracy trade-offs
- Append-only output commits text without revisions, suited to live captioning and LLM agents
- Built on Qwen3-ASR with vLLM and transformers backends, WebSocket server included
- Claims SOTA among open-source models; optimized for Chinese and English
From the original article
8 min read at huggingface.coautomatic-speech-recognition · 643 downloads · 171 likes · license other
By netease-youdao · huggingface.co
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