Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Everyday speech communication often occurs in environments with background noise, and the impact of noise on speech recognition can vary depending on factors such as noise type, noise intensity, and the listener's hearing ability. However, the extent to which neural mechanisms in speech understanding are influenced by different types and levels of noise remains unknown. This study aims to investigate whether individuals exhibit distinct neural responses and attention strategies depending on noise conditions. We recorded electroencephalography (EEG) data from 20 participants with normal hearing (13 males) and evaluated both neural tracking of speech envelopes and behavioral performance in speech understanding in the presence of varying types of background noise. Participants engaged in an EEG experiment consisting of two separate sessions. The first session involved listening to a 12-min story presented binaurally without any background noise. In the second session, speech understanding scores were measured using matrix sentences presented under speech-shaped noise (SSN) and Story noise background noise conditions at noise levels corresponding to sentence recognitions score (SRS). We observed differences in neural envelope correlation depending on noise type but not on its level. Interestingly, the impact of noise type on the variation in envelope tracking was more significant among participants with higher speech perception scores, while those with lower scores exhibited similarities in envelope correlation regardless of the noise condition. The findings suggest that even individuals with normal hearing could adopt different strategies to understand speech in challenging listening environments, depending on the type of noise.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616241PMC
http://dx.doi.org/10.3389/fnins.2023.1268591DOI Listing

Publication Analysis

Top Keywords

background noise
20
noise
17
normal hearing
12
noise type
12
speech understanding
12
speech
9
envelope tracking
8
impact noise
8
type noise
8
depending noise
8

Similar Publications

Dried blood spots (DBS) have emerged as a promising complement, and in some settings, an alternative, to urine for anabolic androgenic steroid (AAS) testing, offering advantages such as minimal invasiveness, simplified storage, and transportation. This study evaluated two DBS collection devices-cellulose-based Capitainer-B50 and polymer-based Tasso-M20-and compared results with traditional urine analysis. Ten self-reported AAS users were recruited and provided matched urine and DBS samples.

View Article and Find Full Text PDF

Background: Stroke, frequently associated with carotid artery disease, is evaluated using carotid computed tomography angiography (CTA). Dual-energy CTA (DE-CTA) enhances imaging quality but presents challenges in maintaining high image clarity with low-dose scans.

Objectives: To compare the image quality of 50 keV virtual monoenergetic images (VMI) generated using Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) algorithms under a triple-low scanning protocol in carotid CTA.

View Article and Find Full Text PDF

Background: Effective communication and collaboration among clinical and nonclinical staff are critical to the health and safety of the staff, for optimal team performance and for safe patient care. While respiratory protective equipment are routine key strategies to protect healthcare workers from exposure to select respiratory pathogens, they have been demonstrated to disrupt speech intelligibility. The COVID-19 pandemic escalated the need for and utilization of respiratory protection in all healthcare settings.

View Article and Find Full Text PDF

Heartbeat detection and personal authentication using a 60 GHz Doppler sensor.

Front Digit Health

August 2025

Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan.

Background: Microwave Doppler sensors, capable of detecting minute physiological movements, enable the measurement of biometric information, such as walking patterns, heart rate, and respiration. Unlike fingerprint and facial recognition systems, they offer authentication without physical contact or privacy concerns. This study focuses on non-contact seismocardiography using microwave Doppler sensors and aims to apply this technology for biometric authentication.

View Article and Find Full Text PDF

The plateau pika () is a keystone species on the Qinghai-Tibet Plateau, and its population density-typically inferred from burrow counts-requires rapid, low-cost monitoring. We propose YOLO-Pika, a lightweight detector built on YOLOv8n that integrates (1) a Fusion_Block into the backbone, leveraging high-dimensional mapping and fine-grained gating to enhance feature representation with negligible computational overhead, and (2) an MS_Fusion_FPN composed of multiple MSEI modules for multi-scale frequency-domain fusion and edge enhancement. On a plateau pika burrow dataset, YOLO-Pika increases mAP50 by 3.

View Article and Find Full Text PDF