Yineng Cai

MoNet: A Mixture of Experts Solution for Multilingual and Low-Resource ASR Challenges

2024

Contemporary end-to-end automatic speech recognition models have demonstrated remarkable performance in monolingual contexts with abundant corpora. However, their efficacy is considerably compromised in multilingual and resource-scarce environments due to the models’ inability to effectively learn …