Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals

25 Jun 2020Jing ShiXuankai ChangPengcheng GuoShinji WatanabeYusuke FujitaJiaming XuBo XuLei Xie

Neural sequence-to-sequence models are well established for applications which can be cast as mapping a single input sequence into a single output sequence. In this work, we focus on one-to-many sequence transduction problems, such as extracting multiple sequential sources from a mixture sequence... (read more)

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