Background And Objectives: The present study aimed to investigate the effect of active listening and listening effort on the contralateral suppression of transient evoked otoacoustic emissions (CSTEOAEs).
Subjects And Methods: Twenty eight young adults participated in the study. Transient evoked otoacoustic emissions (TEOAEs) were recorded using 'linear' clicks at 60 dB peSPL, in three contralateral noise conditions. In condition 1, TEOAEs were obtained in the presence of white noise in the contralateral ear. While, in condition 2, speech was embedded into white noise at +3, -3, and -9 dB signal-to-noise ratio (SNR) and delivered to the contralateral ear. The SNR was varied to investigate the effect of listening effort on the CSTEOAE. In condition 3, speech was played backwards and embedded into white noise at -3 dB SNR. The conditions 1 and 3 served as passive listening condition and the condition 2 served as active listening condition. In active listening condition, the participants categorized the words in to two groups (e.g., animal and vehicle).
Results: CSTEOAE was found to be largest in the presence of white noise, and the amount of CSTEOAE was not significantly different between active and passive listening conditions (condition 2 and 3). Listening effort had an effect on the CSTEOAE, the amount of suppression increased with listening effort, when SNR was decreased from +3 dB to -3 dB. However, when the SNR was further reduced to -9 dB, there was no further increase in the amount of CSTEOAE, instead there was a reduction in the amount of suppression.
Conclusions: The findings of the present study show that listening effort might affect CSTEOAE.
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http://dx.doi.org/10.7874/jao.2017.21.1.1 | DOI Listing |
J Speech Lang Hear Res
January 2025
Department of Otorhinolaryngology, Head and Neck Surgery, Ghent University Hospital, Belgium.
Purpose: This study aimed to assess the magnitude and direction of dual-task interference in a listening effort dual-task paradigm in individuals with severe-to-profound hearing loss before and in the short- and long-term after cochlear implantation.
Design: The study sample consisted of 26 adult candidates for cochlear implantation with severe-to-profound hearing loss. The dual-task paradigm consisted of a primary speech understanding task, conducted in a quiet condition, and a favorable and unfavorable noise condition on the one hand and a secondary visual memory task on the other hand.
Proc Natl Acad Sci U S A
January 2025
Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA 15213.
J Neurosci Methods
December 2024
Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milan, 20133, Italy. Electronic address:
Background: Acoustic challenges impose demands on cognitive resources, known as listening effort (LE), which can substantially influence speech perception and communication. Standardized assessment protocols for monitoring LE are lacking, hindering the development of adaptive hearing assistive technology.
New Method: We employed an adaptive protocol, including a speech-in-noise test and personalized definition of task demand, to assess LE and its physiological correlates.
Sci Rep
December 2024
Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
Multi-talker speech intelligibility requires successful separation of the target speech from background speech. Successful speech segregation relies on bottom-up neural coding fidelity of sensory information and top-down effortful listening. Here, we studied the interaction between temporal processing measured using Envelope Following Responses (EFRs) to amplitude modulated tones, and pupil-indexed listening effort, as it related to performance on the Quick Speech-in-Noise (QuickSIN) test in normal-hearing adults.
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December 2024
Laboratorio de Audición Computacional y Piscoacústica, Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, Salamanca, Spain.
Objectives: We compared sound quality and performance for a conventional cochlear-implant (CI) audio processing strategy based on short-time fast-Fourier transform (Crystalis) and an experimental strategy based on spectral feature extraction (SFE). In the latter, the more salient spectral features (acoustic events) were extracted and mapped into the CI stimulation electrodes. We hypothesized that (1) SFE would be superior to Crystalis because it can encode acoustic spectral features without the constraints imposed by the short-time fast-Fourier transform bin width, and (2) the potential benefit of SFE would be greater for CI users who have less neural cross-channel interactions.
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