Speaker verification method based on deep neural network, terminal and storage medium

The invention discloses a speaker verification method based on a deep neural network, a terminal and a storage medium. The method comprises the following steps: acquiring voice data of a plurality of speakers in a preset data set; converting the plurality of voice data into a two-dimensional data group through preprocessing, and dividing the two-dimensional data group into a training set and a verification set according to a preset proportion; constructing a deep neural network according to the residual neural network and the long-short term memory network, and performing training verification on the deep neural network through the training set and the verification set to obtain a trained deep neural network; and through the trained deep neural network, predicting a plurality of pieces of input audio information of the to-be-tested speaker, and outputting a verification result of the to-be-tested speaker. The method makes full use of the frequency domain feature and time domain feature information of the audi