Journal of East China Normal University(Natural Sc ›› 2014, Vol. 2014 ›› Issue (1): 60-67.

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Belongingness of Chinese dialect speech recognition based on deep neural network

JING Ya-peng, ZHENG Jun, HU Wen-xin   

  1. Computing Center, East China Normal University, Shanghai 200062, China
  • Received:2013-03-01 Revised:2013-06-01 Online:2014-01-25 Published:2015-09-25

Abstract: Based on the modified QuickNet software, we proposed a supervised DNN layerwise pre-training method for dialect speech recognition. The pre-training will start from a 3-layer neural network till the maximum layer, during which we will do supervised training. The initial weights of a new layer are composed of the partial trained weights of lower level network and the randomized weights closed to the output layer. Then we will do traditional back-propagation training when the initial weights of the maximum layer network are obtained. This method achieved a relatively higher recognition rate compared with normal neural network training and can be used in mobile speech recognition apps, the recognition of dialects speech and so on.

Key words: deep neural network, dialects speech recognition, QuickNet

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