2018
DOI: 10.1111/ejn.13846
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A two‐path model of auditory modulation detection using temporal fine structure and envelope cues

Abstract: 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… Show more

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Cited by 24 publications
(18 citation statements)
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References 115 publications
(224 reference statements)
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“…The unitary neural coding theory of FM and AM predicts that steeper masking functions (implying sharper cochlear tuning) should be related to better FM detection thresholds ( Zwicker, 1956 ). Furthermore, this relationship should hold even after controlling for central aspects of processing known to relate to FM detection, such as aging and sensitivity to AM at the same rate ( Whiteford and Oxenham, 2015 ; Whiteford et al, 2017 ), as well as overall hearing loss for the tested ear, which could affect time coding independently of place coding (e.g., Ewert et al, 2020 ). The current consensus is that place theory applies to fast but not slow FM detection ( Moore and Sek, 1995 ; Moore and Sek, 1996 ; Lacher-Fougère and Demany, 1998 ; Strelcyk and Dau, 2009 ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The unitary neural coding theory of FM and AM predicts that steeper masking functions (implying sharper cochlear tuning) should be related to better FM detection thresholds ( Zwicker, 1956 ). Furthermore, this relationship should hold even after controlling for central aspects of processing known to relate to FM detection, such as aging and sensitivity to AM at the same rate ( Whiteford and Oxenham, 2015 ; Whiteford et al, 2017 ), as well as overall hearing loss for the tested ear, which could affect time coding independently of place coding (e.g., Ewert et al, 2020 ). The current consensus is that place theory applies to fast but not slow FM detection ( Moore and Sek, 1995 ; Moore and Sek, 1996 ; Lacher-Fougère and Demany, 1998 ; Strelcyk and Dau, 2009 ).…”
Section: Resultsmentioning
confidence: 99%
“…Age and sensitivity to AM could confound effects of cochlear filtering because they are both correlated with FM detection in listeners with normal hearing ( Whiteford and Oxenham, 2015 ; Paraouty et al, 2016 ; Whiteford et al, 2017 ). Audibility is not thought to affect FM for levels that are 25 dB or more above absolute threshold ( Zurek and Formby, 1981 ), but average absolute thresholds for the carrier frequency in the tested ear were included in the partial correlation analysis as a precaution, since a few listeners with the most hearing loss had stimuli presented at or near 20 dB sensation level (SL), and because hearing loss has been postulated to affect time coding, independent of place coding ( Ewert et al, 2020 ). Partial correlations between FM detection and masking function slopes were conducted, controlling for age, absolute thresholds at 1 kHz, and AM detection thresholds at the corresponding rate, in an attempt to isolate the role of place coding in FM detection.…”
Section: Resultsmentioning
confidence: 99%
“…The detection of FM is an assay of TFS processing because it is thought that listeners use the instantaneous amplitude of the signal to detect small changes in frequency over time by phase locking to peaks in each cycle of the carrier tone. A model of the interference between amplitude and FM was shown to require the addition of monaural TFS cues in order to account for FM thresholds (Ewert, Paraouty, & Lorenzi, 2018). By selecting a low carrier frequency and randomizing the carrier frequency of the unmodulated and modulated stimuli, the potential use of place cues is minimized (Moore & Sek, 1996; Paraouty, Ewert, Wallaert, & Lorenzi, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…The first model, developed by Ewert and Dau (2000), discards temporal-envelope phase information and uses the envelope power as a decision statistic. The second model, developed by Ewert et al (2018), also discards temporal-envelope phase information and uses both TFS and envelope cues.…”
Section: Temporal Integration Of Fm Cuesmentioning
confidence: 99%