An artificial sound source separation method and device are disclosed. The sound source separation method by the artificial sound source separation device based on dictionary learning generates a dictionary matrix by performing dictionary learning, receives an overlapping sound source in which at least two sound sources are mixed and separates a target sound source from the overlapping sound source based on the dictionary matrix; and detecting the target sound source. The dictionary learning may be performed using a K-SVD algorithm. The intelligent computing device configuring a sound source processing device of the present disclosure may be associated with an artificial intelligence module, drone (unmanned aerial vehicle, UAV), robot, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G services, and the like.