A Study of All-Convolutional Encoders for Connectionist Temporal Classification

28 Oct 2017 Kalpesh Krishna Liang Lu Kevin Gimpel Karen Livescu

Connectionist temporal classification (CTC) is a popular sequence prediction approach for automatic speech recognition that is typically used with models based on recurrent neural networks (RNNs). We explore whether deep convolutional neural networks (CNNs) can be used effectively instead of RNNs as the "encoder" in CTC... (read more)

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