In the realm of noise control, addressing transient noise is a critical aspect that demands advanced solutions. This article presents a pioneering neural network-based method designed specifically for transient noise suppression. Noteworthy for its low-complexity computation, the method outlined in this study offers a highly efficient approach to transient noise control. The research, identified by the DOI 10.3397/IN-2021-11598, delves into the details of this innovative approach. Employing sophisticated neural network architectures, the method excels in detecting and minimizing transient noise, leading to a notable enhancement in signal quality. The implications of this breakthrough extend across industries such as telecommunications, audio processing, and automotive engineering, where transient noise can significantly impact overall system functionality. With its potential to revolutionize noise control standards, the neural network-based method introduced in this study emerges as a promising solution to the challenges posed by transient noise in diverse applications.