Performances Study of a New Speech Coding Strategy with Reduced Channels for Cochlear Implants

Bouafif Lamia*, Ouni Kais, Ellouze Noureddine
Signal Processing Laboratory, ENIT, BP 37 Tunis Belvedère, Tunisia

© 2009 Lamia et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Signal Processing Laboratory, ENIT, BP 37 Tunis Belvedère, Tunisia; E-mail:


A new cochlear implant speech coding strategy for representing acoustic information with reduced number of channels will be developed. After a brief description of the actual cochlear implant stimulation methods, the authors present a processing algorithm describing the new adaptive spectral analysis strategy (ASAS-GC). This technique is based on a Gammachirp perception model and an optimal stimulation rate selection. The excited electrodes signals and recognition performances are presented and compared with those of others strategies.