Source separation for reverberant environment

A method of generating a reconstruction model for source separation, characterized by comprising:

• learning, by a processor, mixing parameters for modeling acoustic paths between at least one source and at least two microphones based on first microphone signals, and a spectral basis of the at least one source via a non-negative matrix factorization method by considering a power spectrogram of the first microphone signals of each source as a power spectrogram of the source, under an assumption that the first microphone signals for each individual one of the at least one source are captured respectively by the at least two microphones for a period during which only the individual one produces sounds;
• and
• estimating, by the processor, the reconstruction model based on the mixing parameters, the spectral basis and second microphone signals, under an assumption that the second microphone signals are captured respectively by the at least two microphones for a period during which all of the at least one source produce sounds, wherein the reconstruction model is adapted to reconstruct spatial images of the at least one source on the microphones, and wherein the mixing parameters for each of the at least one source are characterized as ratios between spatial images of the source on the microphones and the spatial image of the source on a reference one of the microphones.