Conformer-Based Speech Recognition Optimizations For Edge Devices
Conformer-Based Speech Recognition optimized for edge devices with memory-aware network transformation & numerical optimizations achieving real-time performance without sacrificing accuracy.
This is a Plain English Papers summary of a research paper called Conformer-Based Speech Recognition On Extreme Edge-Computing Devices. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Introduction The paper discusses optimizations to enable end-to-end (E2E) fully neural network-based automatic speech recognition (ASR) systems on resource-constrained devices like smartphones, wearables, and home automation devices. E2E ASR systems have several advantages over conventional hybrid hidden Markov model-based ASR, including...