Purpose The conventional amplification devices render minimal or no benefit at abating the speech perception problems of individuals with auditory neuropathy spectrum disorder (ANSD). This study was undertaken to evaluate the effect of noise reduction strategies (multiband spectral subtraction, Wiener-as, Karhunen-Loeve transform [Subspace], and ideal binary mask [IdBM] algorithm) on speech using speech perception measures and acoustic measure among individuals with ANSD. Method Two groups of participants (age: 17-43 years) were recruited in the study. Group I comprised 12 individuals with a confirmed diagnosis of ANSD and not exceeding moderate degree of hearing loss and Group II of 10 individuals with normal hearing in both ears. The signal-to-noise required for 50% speech recognition (SNR-50) was measured for the participants in five conditions, that is, unprocessed speech and speech processed with four noise reduction strategies. Additionally, an acoustic objective measure Extended Short-Time Objective Intelligibility algorithm was employed to estimate the intelligibility index across the conditions. Results Significant difference was found across conditions in both the groups. Pairwise comparison revealed significantly better speech perception on SNR-50 measure with IdBM strategy, for both the groups. No significant difference in SNR-50 was observed with other noise reduction strategies. IdBM condition also gave the highest intelligibility index () values using Extended Short-Time Objective Intelligibility algorithm. This finding needs to be verified on a larger group of individuals with ANSD. Conclusions IdBM noise reduction strategy rendered significantly lower SNR-50 compared to other noise reduction strategies for individuals with ANSD in this study. This provides clinical evidence for the same and also recommends trying on a larger group of participants before its implementation in hearing devices. Apart from this, the current strategies used in hearing aids provide no improvement in speech identification in noise for this population. Hence, though the present hearing aids may show benefit in quiet condition, chances of its rejection are high in noisy backgrounds.
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http://dx.doi.org/10.1044/2020_JSLHR-20-00176 | DOI Listing |
Biol Futur
January 2025
Physics Department, Faculty of Science, Istanbul University, Istanbul, Türkiye.
Tree bark is an important natural polymer for sound absorption. The main components in the bark of different tree species are polymers with high molecular weight such as cellulose, hemicellulose, and lignin. The aim of this study is to determine the noise reduction coefficient (NRC), lignin, alcohol-benzene solubility (ABS), carbon (C), and nitrogen (N) contents in samples taken from the bark of different tree species-black locust (Robinia pseudoacacia), narrow-leaved ash (Fraxinus angustifolia), stone pine (Pinus pinea), silver lime (Tilia tomentosa), sweet chestnut (Castanea sativa), sessile oak (Quercus petraea), and maritime pine (Pinus pinaster) and to investigate the relationship between these chemical properties and sound absorption measurements.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
, Institute for Advanced Studies in Basic Sciences, 45195-1159, Zanjan, Iran. Electronic address:
Background: Multivariate curve resolution methods are usually confronted with non-unique pure component factors. This rotational ambiguity can be represented by ranges of feasible profiles, which are equally compatible with the imposed constraints. Sensor-wise N-BANDS is an effective algorithm for the calculation of the bounds of feasible profiles in the presence of noise, but suffers from high computational cost.
View Article and Find Full Text PDFTalanta
January 2025
Department of Bioprocess Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeonbuk State, 54896, Republic of Korea; School of Chemical Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeonbuk State, 54896, Republic of Korea. Electronic address:
Exosomes, crucial for intercellular communication, hold potential as noninvasive liquid biopsy biomarkers especially in early breast cancer detection benefitted from the distinctive "cancer signature" on their membrane surface. Yet, the present methodologies of exosomes for breast cancer detection have involved the implementation of only a single member from the tetraspanin protein group as a biomarker. Moreso, due to the high concentration of exosomes in complex body fluids, there is a compelling need to measure a small concentration of cancer-derived exosomes with a low background noise signal.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
The Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA; The Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
A generic and versatile CT Image Reconstruction (CTIR) scheme can efficiently mitigate imaging noise resulting from inherent physical limitations, substantially bolstering the dependability of CT imaging diagnostics across a wider spectrum of patient cases. Current CTIR techniques often concentrate on distinct areas such as Low-Dose CT denoising (LDCTD), Sparse-View CT reconstruction (SVCTR), and Metal Artifact Reduction (MAR). Nevertheless, due to the intricate nature of multi-scenario CTIR, these techniques frequently narrow their focus to specific tasks, resulting in limited generalization capabilities for diverse scenarios.
View Article and Find Full Text PDFBackground: Noise-induced hearing loss (NIHL) in children is a growing public health concern due to increased exposure to high noise levels in various environments. Early intervention is crucial to prevent long-term developmental and social impacts. This study evaluates the effectiveness of earmuffs as a protective intervention in managing NIHL in children.
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