The Encoder-Decoder Seq2Seq model is composed of two recurrent neural networks (RNNs): an encoder and a decoder. The encoder RNN takes in a sequence of inputs, such as words or characters, and ...

I implement encoder-decoder based seq2seq models with attention. The encoder and the decoder are pre-attention and post-attention RNNs on both sides of the attention mechanism. Encoder:a RNN ...

Several models are tested using various combinations of encoder-decoder layers, and a procedure is proposed to select the best model. We show exemplary results with the best selected model.

The new model comprises a transformer based music encoder and a recurrent structure based dance decoder. The encoder first transforms low-level acoustic features of an input music clip into high-level ...