The diversity of auditory frequency-weighting profiles | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article The diversity of auditory frequency-weighting profiles Daniel Pressnitzer, Rodrigue Bravard, Laurent Demany This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8375701/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Here, we show that listeners apply stable but diverse frequency-weighting profiles when combining auditory information over the frequency range typically covered by everyday sounds. Frequency-weighting profiles were probed behaviourally, in a large online and in-lab cohort, using more than 212,000 perceptual judgments. Listeners assessed changes between consecutive random chords. These changes contained conflicting cues on the acoustic dimension of either frequency, level, or inter-aural level difference. Reverse correlation determined the frequency-weighting profiles best explaining perceptual decisions. Profiles with sharp differences across frequency bands were observed, displaying a remarkable variability across individuals. Individual profiles were reliable and stable over time. Profiles were unrelated to audibility thresholds as all chord components were presented at the same sensation level and as profiles differed across tasks within individuals. We suggest that frequency weighting in supra-threshold audition could act as a perceptual matched filter, tailored to each individual’s acoustic environment. Biological sciences/Psychology/Human behaviour Biological sciences/Neuroscience/Auditory system Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SuppFiguresrevcorprofilev5.docx Supplementary Figures and Analyses Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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