105 citations · 715 across the 41 of their papers we have counts for
4 papers · 1 filter
Deep-FSMN for Large Vocabulary Continuous Speech Recognition
Shiliang Zhang, Ming Lei, Zhijie Yan +1
In this paper, we present an improved feedforward sequential memory networks (FSMN) architecture, namely Deep-FSMN (DFSMN), by introducing skip connections between memory blocks in…
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency
Shiliang Zhang, Cong Liu, Hui Jiang +3
In this paper, we propose a novel neural network structure, namely \emph{feedforward sequential memory networks (FSMN)}, to model long-term dependency in time series without using…
Feedforward Sequential Memory Neural Networks without Recurrent Feedback
ShiLiang Zhang, Hui Jiang, Si Wei +1
We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term dependency without using recurrent feedback…
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models
Shiliang Zhang, Hui Jiang, Mingbin Xu +2
In this paper, we propose the new fixed-size ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size r…