Identifying the Sources of Degraded Speech in Noise Understanding and Individualized Therapeutic Options
Abstract
This project will identify the peripheral and central factors that predict the variance of speech-in-noise (SiN) understanding ability among normal hearing listeners. To achieve this goal, in Aim 1, neural substrates of all the key stages along the proposed SiN processing model will be characterized through within-subject design experiments of human electrophysiology. In Aim 2, a correlational study, we will characterize a hierarchical regression model that adopts the measures of auditory neural processes as independent variables and electrophysiological responses and behavioral performance during phonological and lexical processing as dependent variables. Finally, Aim 3 will seek an optimal, clinically applicable set of test batteries and measures that identifies 1) the sources of degraded speech-in-noise understanding and 2) the most effective, individualized therapeutic options.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2023
- Accession Number
- AD1221103
Entities
People
- Inyong Choi
- Phillip Gander
- Sungyoung Kim
Organizations
- University of Iowa