Title :
A bio-inspired companding strategy for spectral enhancement
Author :
Turicchia, L. ; Sarpeshkar, R.
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
fDate :
3/1/2005 12:00:00 AM
Abstract :
This work presents a compressing-and-expanding, i.e., companding, strategy for spectral enhancement inspired by the operation of the auditory system. The companding strategy simulates the two-tone suppression phenomena of the auditory system and implements a soft local winner-take-all-like enhancement of the input spectrum. It performs multichannel syllabic compression without degrading spectral contrast. The companding strategy works in an analog fashion without explicit decision making, without the use of the fast Fourier transform, and without any cross-coupling between spectral channels. The strategy is useful in cochlear-implant processors, hearing aids, and speech recognition for enhancing spectral contrast. It is well suited to low-power analog circuit implementations.
Keywords :
compandors; data compression; hearing aids; spectral analysis; speech coding; speech enhancement; speech recognition; auditory system; bio-inspired companding strategy; cochlear-implant processor; compressing-and-expanding strategy; fast Fourier transform; hearing aid; low-power analog circuit implementation; multichannel syllabic compression; soft local winner-take-all-like enhancement; spectral channel; spectral enhancement; speech recognition; two-tone suppression phenomena; Analog circuits; Auditory system; Biological system modeling; Decision making; Degradation; Fast Fourier transforms; Gain control; Hearing aids; Speech recognition; Very large scale integration; Auditory filtering; auditory masking; auditory model; cochlear implant; companding; hearing aids; spectral enhancement; two-tone suppression;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
DOI :
10.1109/TSA.2004.841044