Speaker recognition based on BP neural network

Speaker recognition is a newly developed recognition field in the field of speech recognition. In recent years, with the increasingly wide use of artificial neural networks, a speaker recognition method based on the BP neural network has been proposed. The main purpose of this paper is to use BP neural network to train and classify the extracted Mel Frequency Cepstrum Coefficients (MFCC) which can be seen as a kind of speech feature information, so as to achieve the function of speaker recognition.