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
Link To Document :
بازگشت