Conformer-Based Speech Recognition On Extreme Edge-Computing Devices

arXiv:2312.10359v2 Announce Type: replace
Abstract: With increasingly more powerful compute capabilities and resources in today's devices, traditionally compute-intensive automatic speech recognition (ASR) has been moving from the cloud to devices to better protect user privacy. However, it is still challenging to implement on-device ASR on resource-constrained devices, such as smartphones, smart wearables, and other small home automation devices. In this paper, we propose a series of model architecture adaptions, neural network graph transformations, and numerical optimizations to fit an advanced …

abstract arxiv asr automatic speech recognition capabilities cloud compute computing cs.lg cs.pf devices edge however moving privacy protect recognition resources smart smartphones speech speech recognition type wearables