Literature DB >> 27914400

A comparative study of seven human cochlear filter models.

Amin Saremi1, Rainer Beutelmann2, Mathias Dietz3, Go Ashida1, Jutta Kretzberg1, Sarah Verhulst3.   

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.

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Year:  2016        PMID: 27914400     DOI: 10.1121/1.4960486

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  7 in total

1.  An analytic physically motivated model of the mammalian cochlea.

Authors:  Samiya A Alkhairy; Christopher A Shera
Journal:  J Acoust Soc Am       Date:  2019-01       Impact factor: 1.840

2.  Physiological models of the lateral superior olive.

Authors:  Go Ashida; Daniel J Tollin; Jutta Kretzberg
Journal:  PLoS Comput Biol       Date:  2017-12-27       Impact factor: 4.475

3.  A Preliminary Prototype High-Speed Feedback Control of an Artificial Cochlear Sensory Epithelium Mimicking Function of Outer Hair Cells.

Authors:  Hiroki Yamazaki; Dan Yamanaka; Satoyuki Kawano
Journal:  Micromachines (Basel)       Date:  2020-06-29       Impact factor: 2.891

4.  Modeling Pitch Perception With an Active Auditory Model Extended by Octopus Cells.

Authors:  Tamas Harczos; Frank Markus Klefenz
Journal:  Front Neurosci       Date:  2018-09-25       Impact factor: 4.677

5.  The effects of noise-induced hair cell lesions on cochlear electromechanical responses: A computational approach using a biophysical model.

Authors:  Amin Saremi; Stefan Stenfelt
Journal:  Int J Numer Method Biomed Eng       Date:  2022-02-21       Impact factor: 2.648

6.  A FPGA Implementation of the CAR-FAC Cochlear Model.

Authors:  Ying Xu; Chetan S Thakur; Ram K Singh; Tara Julia Hamilton; Runchun M Wang; André van Schaik
Journal:  Front Neurosci       Date:  2018-04-10       Impact factor: 4.677

7.  A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications.

Authors:  Deepak Baby; Arthur Van Den Broucke; Sarah Verhulst
Journal:  Nat Mach Intell       Date:  2021-02-08
  7 in total

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