2 citations · 6 across the 11 of their papers we have counts for
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cs.SD2019
Meta Learning for End-to-End Low-Resource Speech Recognition
Jui-Yang Hsu, Yuan-Jui Chen, Hung-yi Lee
In this paper, we proposed to apply meta learning approach for low-resource automatic speech recognition (ASR). We formulated ASR for different languages as different tasks, and me…
cs.CL2019★ 2 cited
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning
Tao Tu, Yuan-Jui Chen, Cheng-chieh Yeh +1
End-to-end text-to-speech (TTS) has shown great success on large quantities of paired text plus speech data. However, laborious data collection remains difficult for at least 95% o…