Acoustic echo cancellation system and associated method

An acoustic echo cancellation (AEC) system, comprising:

• a loudspeaker interface, coupled to a loudspeaker;
• a microphone interface, coupled to a microphone;
• a processor, arranged to execute:
• a model, arranged to predict and generate a spectral magnitude mask (SMM) through a neural network according to a first microphone signal output by the loudspeaker and a second microphone signal output by the microphone, for generating an estimated speech signal, wherein a noisy speech signal is a sum of a clean speech signal and a noise signal;
• the SMM is a ratio of a spectral magnitude of the estimated speech signal and a spectral magnitude of the noisy speech signal;
• a true mask is a ratio of a spectral magnitude of the clean speech signal and the spectral magnitude of the noisy speech signal;
• and a loss function of the model is a mean square error between the SMM and the true mask;
• wherein the processor is further arranged to train the model by minimizing the loss function, for generating a trained model to generate the estimated speech signal;
• wherein the SMM comprises a real part mask and an imaginary part mask;
• the real part mask is a real part of the SMM and the imaginary part mask is an imaginary part of the SMM;
• and the real part mask corresponds to magnitude information of the first microphone signal and the second microphone signal, the imaginary part mask corresponds to phase information of the first microphone signal and the second microphone signal, and the loss function of the model is a sum of a mean square error between the real part mask and a real part of the true mask and a mean square error between the imaginary part mask and an imaginary part of the true mask.