Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions
Journal: arXiv (Cornell University)
Year: 2024

Power consumption plays a crucial role in on-device streaming speech recognition, significantly influencing the user experience. This study explores how the configuration of weight parameters in speech recognition models affects their overall energy efficiency. We found that the influence of these parameters on power consumption varies depending on factors such as invocation frequency and memory allocation. Leveraging these insights, we propose design principles that enhance on-device speech rec