Exploring Transformers for Large-Scale Speech Recognition

19 May 2020Liang LuChangliang LiuJinyu LiYifan Gong

While recurrent neural networks still largely define state-of-the-art speech recognition systems, the Transformer network has been proven to be a competitive alternative, especially in the offline condition. Most studies with Transformers have been constrained in a relatively small scale setting, and some forms of data argumentation approaches are usually applied to combat the data sparsity issue... (read more)

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