Forward-Backward Convolutional LSTM for Acoustic Modeling

  title={Forward-Backward Convolutional LSTM for Acoustic Modeling},
  author={Shigeki Karita and Atsunori Ogawa and Marc Delcroix and Tomohiro Nakatani},
An automatic speech recognition (ASR) performance has greatly improved with the introduction of convolutional neural network (CNN) or long-short term memory (LSTM) for acoustic modeling. Recently, a convolutional LSTM (CLSTM) has been proposed to directly use convolution operation within the LSTM blocks and combine the advantages of both CNN and LSTM structures into a single architecture. This paper presents the first attempt to use CLSTMs for acoustic modeling. In addition, we propose a new… CONTINUE READING


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