Dialect Password Recognition In Smart Home Based On Convolutional Neural Network

Abstract

At present, password recognition in smart home has achieved some research results, but due to the relatively large China's regional differences, dialect password recognition rate in smart home is low. Aiming at the defects of dialect password recognition in smart home, a dialect password recognition system based on Convolutional Neural Network was constructed. In this study, Mel Frequency Cepstrum Coefficient is used to extract the features of Anhui northern dialect, and a Convolutional Neural Network model is constructed for training and recognition. Experimental results show that the model has a high recognition rate for dialect passwords in smart home.