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Sim-T: Simplify the Transformer Network by Multiplexing Technique for Speech Recognition
With regard to the HKUST and WSJ eval92 datasets, CER and WER will be improved by 0. 3% and 0. 2%, respectively, when parameters in Sim-T are 40% less than the baseline Transformer.
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