METHOD FOR TRAINING A VOICEPRINT EXTRACTION MODEL AND METHOD FOR VOICEPRINT RECOGNITION, AND DEVICE AND MEDIUM THEREOF

摘要

Provided are a method for training a voiceprint extraction model and a method for voiceprint recognition, and devices and mediums thereof. The training method includes: acquiring voice data of a user on T devices, and extracting acoustic features based on the voice data to construct a training data set, T being a positive integer greater than or equal to 2; inputting the training data set into the neural network model, training the neural network model, and acquiring a loss function of each training of the neural network model; and determining that the training of the neural network model is completed when the loss function converges, wherein the loss function is a weighted sum of a classification loss function, a reconstruction loss function, a difference loss function and a similarity loss function.