Conformer: Convolution-augmented Transformer for Speech Recognition
INTERSPEECH, pp. 5036-5040, 2020.
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...More
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