Licensed under the Creative Commons Attribution License

AJ Oxenham

AJR Simpson

Andrew J. R. Simpson

BCJ Moore

C Humphries

CJ Plack

CS Watson

David McAlpine

DL Barbour

DS Brungart

E Ozimek

EM Zion Golumbic

FJ Gallun

GA Miller

GR Long

H Levitt

J Xiang

JA Garcia-Lazaro

Jacob Engelmann

Joshua D. Reiss

ML Jepsen

N Ding

NF Viemeister

P Lakatos

R Drullman

RF Voss

RV Shannon

RW Peters

S Sadagopan

T Dau

W Jesteadt

W McGill

Y Wang

PLoS ONE

English

PubMed

Recent studies employing speech stimuli to investigate 'cocktail-party' listening have focused on entrainment of cortical activity to modulations at syllabic (5 Hz) and phonemic (20 Hz) rates. The data suggest that cortical modulation filters (CMFs) are dependent on the sound-frequency channel in which modulations are conveyed, potentially underpinning a strategy for separating speech from background noise. Here, we characterize modulation filters in human listeners using a novel behavioral method. Within an 'inverted' adaptive forced-choice increment detection task, listening level was varied whilst contrast was held constant for ramped increments with effective modulation rates between 0.5 and 33 Hz. Our data suggest that modulation filters are tonotopically organized (i.e., vary along the primary, frequency-organized, dimension). This suggests that the human auditory system is optimized to track rapid (phonemic) modulations at high sound-frequencies and slow (prosodic/syllabic) modulations at low frequencies

Simpson, AJ

Reiss, JD

McAlpine, D

UCL Discovery

Tuning of human modulation filters is carrier-frequency dependent

Simpson Andrew J. R.

Reiss Joshua D.

McAlpine David

Public Library of Science (PLOS)

Tuning of Human Modulation Filters Is Carrier-Frequency Dependent

Recent studies employing speech stimuli to investigate ‘cocktail-party’ listening have focused on entrainment of cortical activity to modulations at syllabic (5 Hz) and phonemic (20 Hz) rates. The data suggest that cortical modulation filters (CMFs) are dependent on the sound-frequency channel in which modulations are conveyed, potentially underpinning a strategy for separating speech from background noise. Here, we characterize modulation filters in human listeners using a novel behavioral method. Within an ‘inverted’ adaptive forced-choice increment detection task, listening level was varied whilst contrast was held constant for ramped increments with effective modulation rates between 0.5 and 33 Hz. Our data suggest that modulation filters are tonotopically organized (i.e., vary along the primary, frequency-organized, dimension). This suggests that the human auditory system is optimized to track rapid (phonemic) modulations at high sound-frequencies and slow (prosodic/syllabic) modulations at low frequencies.9 page(s

Simpson, Andrew J. R

Reiss, Joshua D

McAlpine, David

Macquarie University ResearchOnline

Crossref

Andrew J R Simpson

Joshua D Reiss

Directory of Open Access Journals

Tuning of human modulation filters is carrier-frequency dependent.

Recent studies employing speech stimuli to investigate ‘cocktail-party ’ listening have focused on entrainment of cortical activity to modulations at syllabic (5 Hz) and phonemic (20 Hz) rates. The data suggest that cortical modulation filters (CMFs) are dependent on the sound-frequency channel in which modulations are conveyed, potentially underpinning a strategy for separating speech from background noise. Here, we characterize modulation filters in human listeners using a novel behavioral method. Within an ‘inverted ’ adaptive forced-choice increment detection task, listening level was varied whilst contrast was held constant for ramped increments with effective modulation rates between 0.5 and 33 Hz. Our data suggest that modulation filters are tonotopically organized (i.e., vary along the primary, frequency-organized, dimension). This suggests that the human auditory system is optimized to track rapid (phonemic) modulations at high sound-frequencies and slow (prosodic/syllabic) modulations at low frequencies

David Mcalpine

CiteSeerX

Simpson, AJR

Queen Mary Research Online

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Tuning of Human Modulation Filters Is Carrier-Frequency Dependent

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