Exploring EEG Indicators to Evaluate Listening Difficulties in Noisy Environments
Auditory processing difficulties involve challenges in understanding speech in noisy environments despite normal hearing. However, the neural mechanisms remain unclear, and standardized diagnostic criteria are lacking. This study examined neural indicators using EEG under realistic noisy conditions. Ten Japanese-speaking university students participated in auditory tasks, including a resting state, a lecture attention task with background noise, and a task requiring attention to background noise. The study analyzed the peak frequency and power of alpha waves, the long-range temporal correlation of alpha oscillations, and the absolute power of delta waves. Results showed a significant reduction in the power of alpha waves during the background noise attention task, suggesting increased cognitive load. In contrast, the peak frequency of alpha waves remained stable, indicating limited sensitivity to cognitive demand changes. Long-range temporal correlation increased under tasks requiring auditory attention, reflecting sustained attention-related neural dynamics, while the absolute power of delta waves showed no significant variation across tasks. Regression analysis revealed a significant negative correlation between the power of alpha waves in noisy conditions and screening scores for auditory processing difficulties, suggesting its potential as a neural indicator.
Code (0)
등록된 구현이 없습니다.
Tasks
DiagnosticEEGSimilar Papers 제목 키워드 기반
Automatic Speech Recognition Errors as a Predictor of L2 Listening Difficulties
This paper investigates the use of automatic speech recognition (ASR) errors as indicators of the second language (L2) learners{'} listening difficulties and in doing so strives to overcome the shortcomings of Partial an…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Specificityspeech-recognition+1Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors
Listening in noisy environments can be difficult even for individuals with a normal hearing thresholds. The speech signal can be masked by noise, which may lead to word misperceptions on the side of the listener, and ove…
Speech SynthesisStatic and Dynamic Measures of Active Music Listening as Indicators of Depression Risk
Music, an integral part of our lives, which is not only a source of entertainment but plays an important role in mental well-being by impacting moods, emotions and other affective states. Music preferences and listening …
Development of the Listening in Spatialized Noise-Sentences (LiSN-S) Test in Brazilian Portuguese: Presentation Software, Speech Stimuli, and Sentence Equivalence
The Listening in Spatialized Noise Sentences (LiSN-S) is a test to evaluate auditory spatial processing currently only available in the English language. It produces a three-dimensional auditory environment under headpho…
SentencePerceptual Noise-Masking with Music through Deep Spectral Envelope Shaping
People often listen to music in noisy environments, seeking to isolate themselves from ambient sounds. Indeed, a music signal can mask some of the noise's frequency components due to the effect of simultaneous masking. I…