A method for processing an audio signal, the method comprising: acquiring, through at least two microphones, audio signals sent by at least two sound sources, to obtain a plurality of frames of original noisy signals of each of the at least two microphones on a time domain; for each frame of the original noisy signals on the time domain, acquiring frequency-domain estimation signals of each of the at least two sound sources according to the original noisy signals of the at least two microphones; for each of the at least two sound sources, dividing the frequency-domain estimation signals into a plurality of frequency-domain estimation components based on a frequency domain, wherein each frequency-domain estimation component corresponds to a frequency-domain sub-band and comprises a plurality of pieces of frequency point data; for each of the at least two sound sources, performing feature decomposition on a related matrix of each of the frequency-domain estimation components to obtain a target feature vector corresponding to the frequency-domain estimation component; for each of the at least two sound sources, obtaining a separation matrix of each of frequency points based on the target feature vectors and the frequency-domain estimation signals of the sound source; and obtaining the audio signals of sounds produced by the at least two sound sources based on the separation matrixes and the original noisy signals, wherein, for each of the at least two sound sources, the obtaining separation matrixes of the frequency points based on the target feature vectors and the frequency-domain estimation signals of the sound source comprises: for each of the at least two sound sources, obtaining mapping data of the cth frequency-domain estimation component mapped into a preset space based on a product of a transposed matrix of the target feature vector of the cth frequency-domain estimation component and the cth frequency-domain estimation component; and obtaining the separation matrixes based on the mapping data and iterative operations of the first frame original noisy signal to the Nth frame original noisy signal. acquiring, through at least two microphones, audio signals sent by at least two sound sources, to obtain a plurality of frames of original noisy signals of each of the at least two microphones on a time domain; for each frame of the original noisy signals on the time domain, acquiring frequency-domain estimation signals of each of the at least two sound sources according to the original noisy signals of the at least two microphones; for each of the at least two sound sources, dividing the frequency-domain estimation signals into a plurality of frequency-domain estimation components based on a frequency domain, wherein each frequency-domain estimation component corresponds to a frequency-domain sub-band and comprises a plurality of pieces of frequency point data; for each of the at least two sound sources, performing feature decomposition on a related matrix of each of the frequency-domain estimation components to obtain a target feature vector corresponding to the frequency-domain estimation component; for each of the at least two sound sources, obtaining a separation matrix of each of frequency points based on the target feature vectors and the frequency-domain estimation signals of the sound source; and obtaining the audio signals of sounds produced by the at least two sound sources based on the separation matrixes and the original noisy signals, wherein, for each of the at least two sound sources, the obtaining separation matrixes of the frequency points based on the target feature vectors and the frequency-domain estimation signals of the sound source comprises: for each of the at least two sound sources, obtaining mapping data of the cth frequency-domain estimation component mapped into a preset space based on a product of a transposed matrix of the target feature vector of the cth frequency-domain estimation component and the cth frequency-domain estimation component; and obtaining the separation matrixes based on the mapping data and iterative operations of the first frame original noisy signal to the Nth frame original noisy signal. for each of the at least two sound sources, obtaining mapping data of the cth frequency-domain estimation component mapped into a preset space based on a product of a transposed matrix of the target feature vector of the cth frequency-domain estimation component and the cth frequency-domain estimation component; and obtaining the separation matrixes based on the mapping data and iterative operations of the first frame original noisy signal to the Nth frame original noisy signal.