Despite significant advances in hearing-aid technology, several problems for hearing-impaired listeners have not been solved by current signal-processing schemes. This project will develop novel, physiologically-based signal processing strategies to address two major problems faced by hearing-aid users: difficulty listening in noisy environments and loudness distortion, which limits hearing-impaired listeners' dynamic range of comfortable listening levels. Our recent physiological studies have suggested neural encoding and processing mechanisms for masked detection of signals in background noise and for level coding. These studies have resulted in quantitative models that successfully predict the performance of human listeners on psychophysical tasks related to masked detection and level discrimination. In this project, we will take advantage of the basic concepts behind these models and convert them into signal-processing algorithms. This effort not only provides additional tests for our models, but also provides an opportunity to apply ideas suggested by our physiological and modeling studies to real problems for hearing-impaired listeners. Two strategies will be explored in this project. (1) Noise reduction based on a neural model for masking. We will use our masked-detection model to identify signals in the presence of background noise. Frequency bands that are dominated by signal energy will be amplified, and other channels will be attenuated. The confirmed success of our model in detecting signals in fluctuating noises is an important aspect of this approach. (2) Compensation of perceived loudness based on a neural model for level coding. We will introduce into the signal the level-dependent cross-frequency phase differences that are created in the healthy cochlea, taking advantage of nonlinear filters that simulate auditory-nerve tuning. The goal is to increase the comfortable range of levels and to improve speech recognition by providing these nonlinear cues to the impaired ear.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21DC006057-02
Application #
6726014
Study Section
Special Emphasis Panel (ZDC1-SRB-A (39))
Program Officer
Luethke, Lynn E
Project Start
2003-04-01
Project End
2006-03-31
Budget Start
2004-04-01
Budget End
2006-03-31
Support Year
2
Fiscal Year
2004
Total Cost
$143,061
Indirect Cost
Name
Syracuse University
Department
Miscellaneous
Type
Schools of Engineering
DUNS #
002257350
City
Syracuse
State
NY
Country
United States
Zip Code
13244
Calandruccio, Lauren; Doherty, Karen A; Carney, Laurel H et al. (2007) Perception of temporally processed speech by listeners with hearing impairment. Ear Hear 28:512-23
Shi, Lu-Feng; Carney, Laurel H; Doherty, Karen A (2006) Correction of the peripheral spatiotemporal response pattern: a potential new signal-processing strategy. J Speech Lang Hear Res 49:848-55