This study explores the potential of integrating the structural similarity (SSIM) as a loss function within generative adversarial networks (GANs) to enhance the generation of room impulse responses (RIRs). Neural network-based RIR generators ...

Learning sensorimotor trajectories through flexible neural representations is fundamental for robots as it facilitates the building of motor skills as well as equipping them with the ability to represent the world as predictable temporal events. ...