Therefore, we propose an Adapted Dynamic Memory Network (A-DMN) where self and inter-speaker influences are modelled individually and further synthesised oriented towards the current utterance.

To this end, we present an efficient in-memory convolutional neural network (CNN) accelerator optimized for use with racetrack memory. We design a series of fundamental arithmetic circuits as ...

Abstract: In this paper, an enhanced mixed droop control strategy is proposed for a fuel cell/supercapacitor-based auxiliary power unit (FC/SC-APU), which is usually used in large electric vehicles, ...