DocumentCode
409645
Title
Signal processing strategies and clinical outcomes for gain and waveform compression in hearing aids
Author
Goldstein, J.L. ; Oz, M. ; Gilchrist, P. ; Valente, M.
Author_Institution
BECS Technol. Inc., St. Louis, MO, USA
Volume
1
fYear
2003
fDate
9-12 Nov. 2003
Firstpage
391
Abstract
Compressive hearing aids automatically reduce their gain with increasing sound level to accommodate reduced dynamic ranges in sensorineural hearing loss. Hearing-impaired people can also benefit from waveform compression that strengthens consonant sounds relative to vowels (E. Villchur, 1973). The normal ear accomplishes both forms of compressive signal processing with instantaneously compressing bandpass nonlinearity (BPNL) filters (R.R. Pfeiffer, 1970) under efferent control. Guided by the development of this basic knowledge (J.L. Goldstein, 2001), we have implemented a real-time PC simulation of a multi-channel DSP hearing aid with programmable gain and waveform compression options. Prescription fitting is being developed through clinical study of patient preferences and speech intelligibility.
Keywords
band-pass filters; data compression; hearing; hearing aids; nonlinear filters; speech intelligibility; bandpass nonlinearity filter; clinical study; compressive hearing aid; compressive signal processing; digital signal processing; gain compression; multichannel DSP hearing aid; prescription fitting; programmable gain; real-time PC simulation; sensorineural hearing loss; signal processing strategy; speech intelligibility; waveform compression; Auditory system; Deafness; Design engineering; Dynamic range; Ear; Frequency; Hearing aids; Knowledge engineering; Signal processing; Transducers;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN
0-7803-8104-1
Type
conf
DOI
10.1109/ACSSC.2003.1291941
Filename
1291941
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