公开(公告)号：US20200334526A1

公开(公告)日：2020-10-22

申请号：US16410659

申请日：2019-05-13

申请人： Microsoft Technology Licensing, LLC

发明人： Jinyu LI ,  Vadim MAZALOV ,  Changliang LIU ,  Liang LU ,  Yifan GONG

IPC分类号： G06N3/08 ,  G10L15/22 ,  G10L15/16 ,  G10L15/183

摘要： According to some embodiments, a machine learning model may include an input layer to receive an input signal as a series of frames representing handwriting data, speech data, audio data, and/or textual data. A plurality of time layers may be provided, and each time layer may comprise a uni-directional recurrent neural network processing block. A depth processing block may scan hidden states of the recurrent neural network processing block of each time layer, and the depth processing block may be associated with a first frame and receive context frame information of a sequence of one or more future frames relative to the first frame. An output layer may output a final classification as a classified posterior vector of the input signal. For example, the depth processing block may receive the context from information from an output of a time layer processing block or another depth processing block of the future frame.