A method for processing audio signals, the method comprising acquiring, by at least two microphones of a terminal, a plurality of audio signals emitted respectively from at least two sound sources, to obtain respective original noisy signals of the at least two microphones; performing, by the terminal, sound source separation on the respective original noisy signals of the at least two microphones to obtain respective time-frequency estimated signals of the at least two sound sources; determining, by the terminal, a mask value of the time-frequency estimated signal of each sound source in the original noisy signal of each microphone based on the respective time-frequency estimated signals of the at least two sound sources, comprising: obtaining, by the terminal, a proportion value based on the time-frequency estimated signal of any of the sound sources and the original noisy signal of each microphone; and performing, by the terminal, nonlinear mapping on the proportion value based on a sigmoid function to obtain the mask value of the sound source in each microphone; updating, by the terminal, the respective time-frequency estimated signals of the at least two sound sources based on the respective original noisy signals of the at least two microphones and the mask values; and determining, by the terminal, the plurality of audio signals emitted respectively from the at least two sound sources based on the respective updated time-frequency estimated signals of the at least two sound sources, wherein performing the nonlinear mapping on the proportion value based on the sigmoid function to obtain the mask value of the sound source in each microphone consists in: performing the nonlinear mapping on the proportion value to obtain the mask value of the sound source in each microphone by using one of the following sigmoid functions: sigmoid x = 1 1 + e − x, wherein x is the mask value; sigmoid x a c = 1 1 + e − a x − c, wherein x is the mask value, a is a coefficient representing a degree of curvature of a function curve of the sigmoid function, and c is a coefficient representing translation of the function curve of the sigmoid function on an axis x; or sigmoid x a 1 = 1 1 + a 1 − x, wherein x is the mask value, and a 1 is greater than 1. acquiring, by at least two microphones of a terminal, a plurality of audio signals emitted respectively from at least two sound sources, to obtain respective original noisy signals of the at least two microphones; performing, by the terminal, sound source separation on the respective original noisy signals of the at least two microphones to obtain respective time-frequency estimated signals of the at least two sound sources; determining, by the terminal, a mask value of the time-frequency estimated signal of each sound source in the original noisy signal of each microphone based on the respective time-frequency estimated signals of the at least two sound sources, comprising: obtaining, by the terminal, a proportion value based on the time-frequency estimated signal of any of the sound sources and the original noisy signal of each microphone; and performing, by the terminal, nonlinear mapping on the proportion value based on a sigmoid function to obtain the mask value of the sound source in each microphone; obtaining, by the terminal, a proportion value based on the time-frequency estimated signal of any of the sound sources and the original noisy signal of each microphone; and performing, by the terminal, nonlinear mapping on the proportion value based on a sigmoid function to obtain the mask value of the sound source in each microphone; updating, by the terminal, the respective time-frequency estimated signals of the at least two sound sources based on the respective original noisy signals of the at least two microphones and the mask values; and determining, by the terminal, the plurality of audio signals emitted respectively from the at least two sound sources based on the respective updated time-frequency estimated signals of the at least two sound sources, wherein performing the nonlinear mapping on the proportion value based on the sigmoid function to obtain the mask value of the sound source in each microphone consists in: performing the nonlinear mapping on the proportion value to obtain the mask value of the sound source in each microphone by using one of the following sigmoid functions: sigmoid x = 1 1 + e − x, wherein x is the mask value; sigmoid x a c = 1 1 + e − a x − c, wherein x is the mask value, a is a coefficient representing a degree of curvature of a function curve of the sigmoid function, and c is a coefficient representing translation of the function curve of the sigmoid function on an axis x; or sigmoid x a 1 = 1 1 + a 1 − x, wherein x is the mask value, and a 1 is greater than 1. performing the nonlinear mapping on the proportion value to obtain the mask value of the sound source in each microphone by using one of the following sigmoid functions: sigmoid x = 1 1 + e − x, wherein x is the mask value; sigmoid x a c = 1 1 + e − a x − c, wherein x is the mask value, a is a coefficient representing a degree of curvature of a function curve of the sigmoid function, and c is a coefficient representing translation of the function curve of the sigmoid function on an axis x; or sigmoid x a 1 = 1 1 + a 1 − x, wherein x is the mask value, and a 1 is greater than 1.