most citedLanguage-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition

3 citations · 3 across the 1 of their papers we have counts for

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cs.CL2023★ 3 cited

Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition

Zhijie Shen, Wu Guo, Bin Gu

In this paper, we propose a language-universal adapter learning framework based on a pre-trained model for end-to-end multilingual automatic speech recognition (ASR). For acoustic…