ISIS: An accelerator for Sphinx speech recognition

Abstract

The ability to naturally interact with devices is becoming increasingly important. Speech recognition is one well-known solution to provide easy, hands-free user-device interaction. However, speech recognition has significant computation and memory bandwidth requirements, making it challenging to offer at high performance, real-time and ultra-low power for handheld devices. In this paper, we present a speech recognition accelerator called ISIS. We show the overall execution flow of the accelerated speech recognition solution along with optimizations and the key metrics of performance, area and power.