The proposed model uses the same encoder/decoder structure as [<cite>1</cite>] ( Fig.1 ), but it differs in that encoder and decoder models are trained simultaneously using smoothed max pooling loss. In [<cite>1</cite>] , both encoder and decoder models are trained with cross entropy (CE) loss using frame level labels.