Kalmannet: a learnable kalman filter for acoustic echo cancellation

A apparatus for acoustic echo cancellation (AEC), the apparatus comprising:

• at least one memory configured to store computer program code;
• at least one processor configured to access the computer program code and operate as instructed by the computer program code, the computer program code including:
• receiving code configured to cause the at least one processor to receive an audio signal obtained from a microphone;
• inputting code configured to cause the at least one processor to input the audio signal into a neural-network based AEC model, wherein the neural-network based AEC model is trained using a training audio signal;
• and
• outputting code configured to cause the at least one processor to output an AEC signal from the neural-network based AEC model in which AEC is applied to the audio signal, wherein the AEC signal is a version of the audio signal in which acoustic echo noise of the audio signal is suppressed and target audio of the audio signal is sustained.

A non-transitory computer readable medium storing a program causing a computer to:

• receive an audio signal obtained from a microphone;
• input the audio signal into a neural-network based AEC model, wherein the neural-network based AEC model is trained using a training audio signal;
• and
• output an AEC signal from the neural-network based AEC model in which AEC is applied to the audio signal, wherein the AEC signal is a version of the audio signal in which acoustic echo noise of the audio signal is suppressed and target audio of the audio signal is sustained.