Effects of sensorineural hearing loss on formant-frequency discrimination: Measurements and models

Profile analysis in listeners with sensorineural hearing loss

“…In contrast, when considering only listeners with more than 15 dB of hearing loss at the target frequency, individualized audiograms explained substantial variability in the dataset, with the BS-profile-based model able to account for the largest portion of variance (61.0%), the LSR-profile-based and single-channel models both able to account for slightly less (51.4% and 51.7%, respectively), and the BE-profile-based model able to account for the least (34.1%; other decoding schemes applied to the BE model outputs accounted for little variance). Although considerable variance remained unexplained, these proportions of variance explained are comparable to similarly derived values reported inCarney et al (2023) and suggest that…”

“…Collectively, these factors combined to make 2 kHz the best target frequency to observe an effect of hearing loss on profile analysis thresholds. A recent study on format-frequency discrimination that included many of the same listeners likewise observed significant relationships between audiometric thresholds at 2 kHz and formant-frequency discrimination at 2 kHz, but not between audiometric thresholds at 0.5 kHz and formant-frequency discrimination at 0.5 kHz, possibly for similar reasons (Carney et al, 2023).…”

“…Next, we consider whether our modeling framework can account for our behavioral data across the full range of sensorineural hearing loss among our participants. Recent work has shown that adjusting peripheral models to account for individual variability in audiometric thresholds can improve predictive accuracy (Zaar and Carney, 2022; Carney et al, 2023). Accordingly, we created an individualized peripheral model for each participant and then repeated a subset of our simulations with the models (1- and 2-kHz target frequencies with a fixed-level, where significant effects of hearing loss were observed, but thresholds were measurable; Fig.…”

A fast and flexible approximation of power-law adaptation for auditory computational models

“…These models have proven invaluable for interrelating data across different species, modalities, and paradigms. For example, the phenomenological auditory-nerve (AN) model of Zilany, Bruce, and Carney (2014), hereafter the ZBC model, has been used extensively by several groups in recent years to pursue a wide range of psychophysical and physiological questions (Carney and McDonough, 2019; Bianchi et al, 2019; Maxwell et al, 2020; Saddler et al, 2021; Polonenko and Maddox, 2021; Zaar and Carney, 2022; Guest and Oxenham, 2022; Feather et al, 2022; Carney et al, 2023; Hamza et al, 2023; Lindboom et al, 2023; Brennan et al, 2023). Differences among models often reflect differences in the underlying goals of those who build them (Osses et al, 2022).…”