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Real-time low-latency online inference and decoding in sequential probabilistic models are important in many interactive systems, including automatic speech recognition (ASR) and streaming environments. We study total inference latency (TL) in such systems, the additively combined latency of the inherent look-ahead of a deep neural network's (DNN) contextual window (CWL) in a DNN-HMM hybrid system...
Solar irradiation tends to vary greatly throughout the day. The difference is very large especially between the early hours of sunshine, and during the peak hours of the day. Yet, it is desirable to supply a nearly constant amount of power to loads or power grids for high reliability. Hence, we propose a technique aimed at reducing the variation in solar power generation. Solar irradiation data is...
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