The Computational Auditory Signal Processing and Perception Model (CASP): A Revised Version

This study introduces a revised version of the computational auditory signal processing and perception (CASP) model (Jepsen et al., 2008), which has undergone substantial updates and refinements aimed at enhancing its accuracy and usability across various applications. A primary motivation for the revision was the integration of a more realistic non-linear inner hair cell (IHC) model to address the limitations of its more simplistic predecessor. Demonstrating backwards compatibility, the revised model exhibited similar predictive power to previous CASP implementations across conditions of intensity discrimination, simultaneous and forward masking, and modulation detection, effectively accounting for data from normal-hearing listeners. Additionally, improved decision-making strategies and a streamlined model configuration further enhance the models usability and accessibility. Overall, the revised CASP offers a more accurate and intuitive framework for simulating auditory processing and perception across diverse conditions and tasks. The revised model may be a useful tool in studying the influence of the ears nonlinear response properties on internal representations, particularly concerning the effects of sensorineural hearing loss on auditory perception.