Complex-valued neural networks are utilized for room transfer function estimation, showing advantages in phase accuracy and sound field quality.
Acoustic absorber simulations benefit from time-domain analytic solutions for benchmarking.
Developing a multi-channel model for joint prediction of Mean Opinion Score (MOS) and room acoustics parameters improves performance metrics with less computation.