Optimizing Streaming Speech Recognition on Arm® Edge Devices with ExecuTorch

We tested two builds of ExecuTorch 1.3.1, toggling SME2 support on and off.

Each build retained XNNPACK and KleidiAI, and used identical model artifacts. We tested two builds of ExecuTorch 1.3.1, toggling SME2 support on and off. Each configuration had two warm-ups and one measured tracing run. Audio still has to arrive before it can be decoded, so this headroom does not remove the chunk-collection delay.

来源与授权

原文:Optimizing Streaming Speech Recognition on Arm® Edge Devices with ExecuTorch

发布方:PyTorch 官方模型推理与性能

原作者:Ebba Simpson

授权许可:CC BY 3.0

修改说明:AI辅助摘录与整理,非原文全文