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Conformer: Convolution-augmented Transformer for Speech Recognition

INTERSPEECH, pp.5036-5040, (2020)

被引用56|浏览85
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Recently Transformer and Convolution neural network (CNN) based models have shown promising results in Automatic Speech Recognition (ASR), outperforming Recurrent neural networks (RNNs). Transformer models are good at capturing content-based global interactions, while CNNs exploit local features effectively. In this work, we achieve the...更多

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作者
Gulati Anmol
Gulati Anmol
Qin James
Qin James
Parmar Niki
Parmar Niki
Yu Jiahui
Yu Jiahui
Han Wei
Han Wei
Wang Shibo
Wang Shibo
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