16 citations · 20 across the 2 of their papers we have counts for
2 papers
eess.AS2020★ 4 cited
Large-scale Transfer Learning for Low-resource Spoken Language Understanding
Xueli Jia, Jianzong Wang, Zhiyong Zhang +2
End-to-end Spoken Language Understanding (SLU) models are made increasingly large and complex to achieve the state-ofthe-art accuracy. However, the increased complexity of a model…
eess.AS2020★ 16 cited
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition
Linhao Dong, Cheng Yi, Jianzong Wang +4
End-to-end models are gaining wider attention in the field of automatic speech recognition (ASR). One of their advantages is the simplicity of building that directly recognizes the…