Spectral degradation influences phonological memory in typically hearing adults

Author(s):  
Caitlin A. Ross ◽  
Michelle W. Moore
2016 ◽  
Vol 21 (3) ◽  
pp. 31-55
Author(s):  
Jayeon Lim ◽  
Misun Seo

Author(s):  
Damir Hamidovic ◽  
Peter Preyler ◽  
Christoph Preissl ◽  
Mario Huemer ◽  
Andreas Springer

2018 ◽  
Vol 7 (2.19) ◽  
pp. 106
Author(s):  
Gandla Maharnisha ◽  
Gandla Roopesh Kumar ◽  
R Arunraj

This aims to fused image registration and image fusion used to spatial resolution images by principle component analysis method. Digital image processing requires either the full image or a part of image. It will be processed from the user’s point of view like the radius of object. Wavelet technique will improve the spatial resolution to produce spectral degradation in output image. To overcome the spectral degradation, PCA fusion method can be used. PCA uses curve which represent edges and extraction of the detailed information from the image.PAN and MS images are used by individual acquired low frequency approximate component and high frequency detail components in this PCA. To evaluate the image fusion accuracy, Peak Signal to Noise Ratio and Root Mean Square Error are used. The advantages of using digital image processing are preservation of original data accuracy, flexibility and repeatability. 


2018 ◽  
Vol 37 (8) ◽  
pp. 1910-1919 ◽  
Author(s):  
Paurakh L. Rajbhandary ◽  
Scott S. Hsieh ◽  
Norbert J. Pelc

2021 ◽  
Vol 32 (08) ◽  
pp. 528-536
Author(s):  
Jessica H. Lewis ◽  
Irina Castellanos ◽  
Aaron C. Moberly

Abstract Background Recent models theorize that neurocognitive resources are deployed differently during speech recognition depending on task demands, such as the severity of degradation of the signal or modality (auditory vs. audiovisual [AV]). This concept is particularly relevant to the adult cochlear implant (CI) population, considering the large amount of variability among CI users in their spectro-temporal processing abilities. However, disentangling the effects of individual differences in spectro-temporal processing and neurocognitive skills on speech recognition in clinical populations of adult CI users is challenging. Thus, this study investigated the relationship between neurocognitive functions and recognition of spectrally degraded speech in a group of young adult normal-hearing (NH) listeners. Purpose The aim of this study was to manipulate the degree of spectral degradation and modality of speech presented to young adult NH listeners to determine whether deployment of neurocognitive skills would be affected. Research Design Correlational study design. Study Sample Twenty-one NH college students. Data Collection and Analysis Participants listened to sentences in three spectral-degradation conditions: no degradation (clear sentences); moderate degradation (8-channel noise-vocoded); and high degradation (4-channel noise-vocoded). Thirty sentences were presented in an auditory-only (A-only) modality and an AV fashion. Visual assessments from The National Institute of Health Toolbox Cognitive Battery were completed to evaluate working memory, inhibition-concentration, cognitive flexibility, and processing speed. Analyses of variance compared speech recognition performance among spectral degradation condition and modality. Bivariate correlation analyses were performed among speech recognition performance and the neurocognitive skills in the various test conditions. Results Main effects on sentence recognition were found for degree of degradation (p = < 0.001) and modality (p = < 0.001). Inhibition-concentration skills moderately correlated (r = 0.45, p = 0.02) with recognition scores for sentences that were moderately degraded in the A-only condition. No correlations were found among neurocognitive scores and AV speech recognition scores. Conclusions Inhibition-concentration skills are deployed differentially during sentence recognition, depending on the level of signal degradation. Additional studies will be required to study these relations in actual clinical populations such as adult CI users.


2019 ◽  
Vol 57 (11) ◽  
pp. 8658-8671 ◽  
Author(s):  
Xi Shao ◽  
Tung-Chang Liu ◽  
Xiaoxiong Xiong ◽  
Changyong Cao ◽  
Taeyoung Choi ◽  
...  

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Anna J. Cunningham ◽  
Adrian P. Burgess ◽  
Caroline Witton ◽  
Joel B. Talcott ◽  
Laura R. Shapiro

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