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Cortical Dynamics of Speech-in-Noise...
~
Kim, Subong.
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Cortical Dynamics of Speech-in-Noise Processing with Noise Reduction in Hearing Aids.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Cortical Dynamics of Speech-in-Noise Processing with Noise Reduction in Hearing Aids./
作者:
Kim, Subong.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
91 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
Contained By:
Dissertations Abstracts International82-02B.
標題:
Audiology. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27958409
ISBN:
9798662477520
Cortical Dynamics of Speech-in-Noise Processing with Noise Reduction in Hearing Aids.
Kim, Subong.
Cortical Dynamics of Speech-in-Noise Processing with Noise Reduction in Hearing Aids.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 91 p.
Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
Thesis (Ph.D.)--The University of Iowa, 2020.
This item must not be sold to any third party vendors.
Noise reduction (NR) is a widely used signal processing scheme in modern hearing aids that aims to increase the ease and comfort of listening. The problem is that even the state-of-art NR algorithms of the current time induce inevitable distortion of speech cues while they attenuate background noise, which may have resulted in inconsistent benefits reported in prior studies. It is also challenging for audiologists to provide the best configurations for NR since each listener reacts differently to this trade-off between noise attenuation and speech-cue distortion. To provide a more systematic approach to selecting NR configurations for each hearing aid user, we need to understand the neurophysiology of suprathreshold processing of aided speech processing. Thus, this dissertation presents two aims. First, the present study investigated the neural mechanisms underlying the effect of NR on speech-in-noise recognition. We hypothesized that when the noise was attenuated using NR, cortical evoked responses would show the spatiotemporal pattern of efficient speech processing across the dorsal stream pathway despite inevitable spectral distortion. Second, this work identified factors that explain the individual differences in NR benefits. We hypothesized that different ability to extract speech signals out of background noise would drive individual differences in NR benefits. Here we showed that the NR condition, compared to the no-NR condition, invoked stronger early evoked response in the left supramarginal gyrus and weaker late evoked response in the left inferior frontal gyrus in the most challenging signal-to-noise ratio condition. This spatiotemporal pattern of cortical evoked responses induced by NR is comparable to the neural markers of efficient speech processing in relation to the change in noise level without NR reported from previous findings. We also found that listeners who had poor speech unmasking ability indexed by the amplitude ratio of the target word- and noise-evoked responses in the right Heschl's gyrus got more benefits from NR. The present study provides mechanistic evidence of NR benefits, in addition to traditional outcome measures. This study also suggests many fundamental ideas for how to personalize the hearing aid configuration for NR based on listeners' cortical activity, which will have a substantial clinical impact.
ISBN: 9798662477520Subjects--Topical Terms:
537237
Audiology.
Subjects--Index Terms:
Cortical dynamics
Cortical Dynamics of Speech-in-Noise Processing with Noise Reduction in Hearing Aids.
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Noise reduction (NR) is a widely used signal processing scheme in modern hearing aids that aims to increase the ease and comfort of listening. The problem is that even the state-of-art NR algorithms of the current time induce inevitable distortion of speech cues while they attenuate background noise, which may have resulted in inconsistent benefits reported in prior studies. It is also challenging for audiologists to provide the best configurations for NR since each listener reacts differently to this trade-off between noise attenuation and speech-cue distortion. To provide a more systematic approach to selecting NR configurations for each hearing aid user, we need to understand the neurophysiology of suprathreshold processing of aided speech processing. Thus, this dissertation presents two aims. First, the present study investigated the neural mechanisms underlying the effect of NR on speech-in-noise recognition. We hypothesized that when the noise was attenuated using NR, cortical evoked responses would show the spatiotemporal pattern of efficient speech processing across the dorsal stream pathway despite inevitable spectral distortion. Second, this work identified factors that explain the individual differences in NR benefits. We hypothesized that different ability to extract speech signals out of background noise would drive individual differences in NR benefits. Here we showed that the NR condition, compared to the no-NR condition, invoked stronger early evoked response in the left supramarginal gyrus and weaker late evoked response in the left inferior frontal gyrus in the most challenging signal-to-noise ratio condition. This spatiotemporal pattern of cortical evoked responses induced by NR is comparable to the neural markers of efficient speech processing in relation to the change in noise level without NR reported from previous findings. We also found that listeners who had poor speech unmasking ability indexed by the amplitude ratio of the target word- and noise-evoked responses in the right Heschl's gyrus got more benefits from NR. The present study provides mechanistic evidence of NR benefits, in addition to traditional outcome measures. This study also suggests many fundamental ideas for how to personalize the hearing aid configuration for NR based on listeners' cortical activity, which will have a substantial clinical impact.
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