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Asian Journal of Scientific Research

Year: 2008 | Volume: 1 | Issue: 4 | Page No.: 293-309
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Authors

Amira Derbel

Fathi Kallel

Mounir Samet

Ahmed Ben Hamida

Keywords

Research Article

Bionic Wavelet Transform Based on Speech Processing Dedicated to a Fully Programmable Stimulation Strategy for Cochlear Prostheses

Amira Derbel, Fathi Kallel, Mounir Samet and Ahmed Ben Hamida
This study presents a Digital Speech Processing algorithm based respectively on Continuous Wavelet Transform (CWT) and Bionic Wavelet Transform (BWT), which are applied for cochlear prostheses to stimulate properly cochlea`s nervous cells of totally or even profoundly deaf patients. In fact, BWT is a new time-frequency analysis method recently proposed in the biomedical engineering field. It is based on active cochlear model introduced into CWT. BWT has proven to be meaningful in cochlear implant research. A twenty one filters banc based, respectively on Bionic and Continuous Wavelet Transform using Munich basic function was designed. The input signal could be then divided into twenty one bands according to ERB model (Equivalent Rectangular Bandwidth) which is similar to active auditory model. Strategy performances were evaluated using different input signals like pure and composite sounds and real speech signals extracted from TIMIT database. One comparison study between these two algorithms shows that BWT performs better than CWT for speech signal processing, especially for cochlear prosthesis. This speech processing algorithm allows on the other hand the conception of one graphical spectrogram generating stimulating pulses. It is a useful simulation of electrical stimulating-pulses recommended for cochlear prostheses, especially for performing experiments and clinical set-up during stimulation test and re-education. This software provided in this stimulation technique ensures flexibility in programming, easiness in use as well as different safety features that could help reaching each individual`s needs.
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