2026/04/01 by Will J. Cassidy, Gian Marco De Bortoli, Karolina Prawda +5 · 1 voice
Engineering · Neuroscience · #Acoustic Wave Phenomena Research #Hearing Loss and Rehabilitation #Advanced Adaptive Filtering Techniques
paper · doi:10.1121/10.0043585
openalex publication_date 2026/04/01 · openalex created_date 2026/04/23 · openalex updated_date 2026/07/23
Active acoustic enhancement systems (AAESs) use microphones, loudspeakers and electronic processing to modify the reverberation of a space, offering flexible and cost-effective alternatives to passive variable acoustics. These systems can extend the reverberation time of a space and modify perceived characteristics such as wall distance, diffuseness and intimacy. In this article, the current literature is discussed, and common conditions of AAESs are demonstrated using simulations to help researchers to establish a comprehensive understanding of the field. A general model is first defined to approximate any AAES as a linear, time-invariant system of transfer functions. This is used to analyse the general stability condition, which is valuable for system tuning and prediction. The three main topologies of AAESs are presented, namely, in-line, regenerative and hybrid systems, describing the fundamental differences as well as the nuances of commercial implementations with a focus on signal processing techniques. Articles investigating AAESs have been summarised to allow readers to gauge the coverage of experimental research to date. The simulated contribution serves as an exploratory environment to compare AAES conditions, where code and audio examples are available online. Promising future trajectories are identified involving machine learning, artefact perception and expressive performance.