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Youngmin Jo

2 accepted papers

2020

Low-Latency Lightweight Streaming Speech Recognition with 8-Bit Quantized Simple Gated Convolutional Neural Networks

ICASSP 2020accepted

Automatic speech recognition (ASR) is very important for mobile devices. However, deep neural network-based ASR demands a large number of computations, while the memory bandwidth and battery capacity of mobile devices are limited. Server-based implementations are mostly employed, but this increases…

Cited by 0SourceScholar
2019

Workload-aware Automatic Parallelization for Multi-GPU DNN Training

ICASSP 2019accepted

Deep neural networks (DNNs) have emerged as successful solutions for variety of artificial intelligence applications, but their very large and deep models impose high computational requirements during training. Multi-GPU parallelization is a popular option to accelerate demanding computations in DNN…

Cited by 0SourceScholar