Unverified50% confidenceFactExact time
当前主流的流式ASR架构包括RNN-Transducer和基于Conformer的流式模型，通过因果卷积和有限上下文窗口实现实时处理
1
Sources
50%
Confidence
Long-term
Relevance
8/5/2026
First Seen
Sources
Related Claims
Unverified本地ASR模块参数量在数百万至数千万级，主流架构包括基于CTC的流式识别模型和轻量化Transformer变体，端侧延迟可控制在100ms以内72% similarUnverified相比RNN/LSTM架构，Transformer支持大规模并行计算72% similarUnverifiedFlux 是基于扩散 Transformer（DiT）架构的新一代模型70% similarUnverifiedTransformers框架原生支持bitsandbytes、GPTQ、AWQ等主流量化方案67% similarUnverifiedTransformers框架已支持数百种模型架构，覆盖NLP、CV、Audio、Multimodal等方向66% similar
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