title: A comparative study of seven human cochlear filter models.
abstract: Auditory models have been developed for decades to simulate characteristics of the human auditory system, but it is often unknown how well auditory models compare to each other or perform in tasks they were not primarily designed for. This study systematically analyzes predictions of seven publicly-available cochlear filter models in response to a fixed set of stimuli to assess their capabilities of reproducing key aspects of human cochlear mechanics. The following features were assessed at frequencies of 0.5, 1, 2, 4, and 8 kHz: cochlear excitation patterns, nonlinear response growth, frequency selectivity, group delays, signal-in-noise processing, and amplitude modulation representation. For each task, the simulations were compared to available physiological data recorded in guinea pigs and gerbils as well as to human psychoacoustics data. The presented results provide application-oriented users with comprehensive information on the advantages, limitations and computation costs of these seven mainstream cochlear filter models.
authors.affiliation: Computational Neuroscience and Cluster of Excellence "Hearing4all," Department of Neuroscience, University of Oldenburg, Oldenburg, Germany.
authors.forename: Amin
authors.initials: A
authors.lastname: Saremi
authors.affiliation: Animal Physiology and Behavior and Cluster of Excellence "Hearing4all," Department of Neuroscience, University of Oldenburg, Oldenburg, Germany.
authors.forename: Rainer
authors.initials: R
authors.lastname: Beutelmann
authors.affiliation: Medizinische Physik and Cluster of Excellence "Hearing4all," Department of Medical Physics and Acoustics, University of Oldenburg, Oldenburg, Germany.
authors.forename: Mathias
authors.initials: M
authors.lastname: Dietz
authors.affiliation: Computational Neuroscience and Cluster of Excellence "Hearing4all," Department of Neuroscience, University of Oldenburg, Oldenburg, Germany.
authors.forename: Go
authors.initials: G
authors.lastname: Ashida
authors.affiliation: Computational Neuroscience and Cluster of Excellence "Hearing4all," Department of Neuroscience, University of Oldenburg, Oldenburg, Germany.
authors.forename: Jutta
authors.initials: J
authors.lastname: Kretzberg
authors.affiliation: Medizinische Physik and Cluster of Excellence "Hearing4all," Department of Medical Physics and Acoustics, University of Oldenburg, Oldenburg, Germany.
authors.forename: Sarah
authors.initials: S
authors.lastname: Verhulst
mesh_terms: D000161:Acoustic Stimulation; D000818:Animals; D003051:Cochlea; D005849:Gerbillinae; D006168:Guinea Pigs; D006801:Humans; D009622:Noise; D011571:Psychoacoustics