“…() for ageing and Kortlang et al . () for HI listeners. The inclusion of additional listeners confirmed the FM detection data obtained with interfering AM by Paraouty et al .…”
Section: Discussionmentioning
confidence: 99%
“…Over the last decades, a wealth of psychophysical studies has assessed auditory sensitivity to AM and FM cues, and the effects of ageing and sensorineural hearing loss on AM and FM perception (e.g. Kortlang et al, 2016;Paraouty et al, 2016;Wallaert et al, 2017). The AM and FM behavioural data have been accounted for in terms of synchronization of auditory neurons to the temporal envelope (E) and temporal fine structure (TFS) cues conveyed by AM and FM stimuli.…”
A model using temporal-envelope cues was previously developed to explain perceptual interference effects between amplitude modulation and frequency modulation (FM). As that model could not accurately predict FM sensitivity and the interference effects, temporal fine structure (TFS) cues were added to the model. Thus, following the initial stage of the model consisting of a linear filter bank simulating cochlear filtering, processing was split into an 'envelope path' based on envelope power cues and a 'TFS path' based on a measure of the distribution of time intervals between successive zero-crossings. This yielded independent detectability indices for envelope and TFS cues, which were optimally combined to produce a single decision statistic. Independent internal noises in the envelope and TFS paths were adjusted to match the data. Simulations indicate that TFS cues are required to account for FM data for young normal-hearing listeners and that TFS processing is impaired for both older normal-hearing and hearing-impaired listeners. The role of TFS was further assessed by relating the monaural FM sensitivity to measures of interaural phase difference, commonly assumed to rely on binaural TFS sensitivity. The model demonstrates that binaural TFS sensitivity is considerably lower than monaural TFS sensitivity. Similar to FM thresholds, interaural phase difference sensitivity declined with age and hearing loss, although higher degradations were observed in binaural temporal processing compared to monaural processing. Overall, this model provides a novel tool to explore the mechanisms involved in FM processing in the normal auditory system and the degradations in FM sensitivity with ageing and hearing loss.
“…() for ageing and Kortlang et al . () for HI listeners. The inclusion of additional listeners confirmed the FM detection data obtained with interfering AM by Paraouty et al .…”
Section: Discussionmentioning
confidence: 99%
“…Over the last decades, a wealth of psychophysical studies has assessed auditory sensitivity to AM and FM cues, and the effects of ageing and sensorineural hearing loss on AM and FM perception (e.g. Kortlang et al, 2016;Paraouty et al, 2016;Wallaert et al, 2017). The AM and FM behavioural data have been accounted for in terms of synchronization of auditory neurons to the temporal envelope (E) and temporal fine structure (TFS) cues conveyed by AM and FM stimuli.…”
A model using temporal-envelope cues was previously developed to explain perceptual interference effects between amplitude modulation and frequency modulation (FM). As that model could not accurately predict FM sensitivity and the interference effects, temporal fine structure (TFS) cues were added to the model. Thus, following the initial stage of the model consisting of a linear filter bank simulating cochlear filtering, processing was split into an 'envelope path' based on envelope power cues and a 'TFS path' based on a measure of the distribution of time intervals between successive zero-crossings. This yielded independent detectability indices for envelope and TFS cues, which were optimally combined to produce a single decision statistic. Independent internal noises in the envelope and TFS paths were adjusted to match the data. Simulations indicate that TFS cues are required to account for FM data for young normal-hearing listeners and that TFS processing is impaired for both older normal-hearing and hearing-impaired listeners. The role of TFS was further assessed by relating the monaural FM sensitivity to measures of interaural phase difference, commonly assumed to rely on binaural TFS sensitivity. The model demonstrates that binaural TFS sensitivity is considerably lower than monaural TFS sensitivity. Similar to FM thresholds, interaural phase difference sensitivity declined with age and hearing loss, although higher degradations were observed in binaural temporal processing compared to monaural processing. Overall, this model provides a novel tool to explore the mechanisms involved in FM processing in the normal auditory system and the degradations in FM sensitivity with ageing and hearing loss.
To scrutinize the binaural contribution to speech-in-noise reception, four groups of elderly participants with or without audiometric asymmetry <2 kHz and with or without near-normal binaural intelligibility level difference (BILD) completed tests of monaural and binaural phase sensitivity as well as cognitive function. Groups did not differ in age, overall degree of hearing loss, or cognitive function. Analyses revealed an influence of BILD status but not audiometric asymmetry on monaural phase sensitivity, strong correlations between monaural and binaural detection thresholds, and monaural and binaural but not cognitive BILD contributions. Furthermore, the N0Sπ threshold at 500 Hz predicted BILD performance effectively.
“…Recent studies show that numerous factors, including noise, age, organic solvents, heavy metals, smoking, high blood pressure and blood fat, are associated with work-related hearing loss (5)(6)(7)(8)(9). Age is the most common factor for hearing loss, and age-related hearing loss is known as presbycusis (10,11). While age-related hearing loss or presbycusis is very common among older people, among all the factors affecting this type of hearing loss, noise is known as the most dangerous (12,13), and in nearly every industry there is noise pollution (14), including iron and steel, molten metal, wood, textile, aviation, and chemical (15).…”
Background: Noise-Induced Hearing Loss (NIHL) is a preventable occupational health problem, which is considered among the 10 major work-related illnesses. According to the World Health Organization, repair of noise damage around the world costs four million dollars.
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