most citedMixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CL2021★ 6 cited

MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition

Linghui Meng, Jin Xu, Xu Tan +3

In this paper, we propose MixSpeech, a simple yet effective data augmentation method based on mixup for automatic speech recognition (ASR). MixSpeech trains an ASR model by taking…