The Implementation of Chinese Acoustic Model Efficiency Optimization Based on Convolutional Neural Network

Abstract

In the speech recognition system, the traditional convolution method of convolutional neural network (CNN) model has the problem of low efficiency, especially when processing a large number of speech feature map data. In this paper, a new convolution method for the CNN model has been proposed, which makes the efficiency of CNN model about five times faster than the traditional method. And at the same time, the recognition accuracy of the new method is comparable with traditional method.