Dynamic Sparsity Neural Networks for Automatic Speech Recognition

16 May 2020Zhaofeng WuDing ZhaoQiao LiangJiahui YuAnmol GulatiRuoming Pang

In automatic speech recognition (ASR), model pruning is a widely adopted technique that reduces model size and latency to deploy neural network models on edge devices with resource constraints. However, in order to optimize for hardware with different resource specifications and for applications that have various latency requirements, models with varying sparsity levels usually need to be trained and deployed separately... (read more)

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