RESEARCH ARTICLE
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
Article Information
Identifiers and Pagination:
Year: 2009Volume: 2
First Page: 29
Last Page: 39
Publisher Id: TOSIGPJ-2-29
DOI: 10.2174/1876825300902010029
Article History:
Received Date: 20/07/2009Revision Received Date: 05/08/2009
Acceptance Date: 06/08/2009
Electronic publication date: 16/10/2009
Collection year: 2009
© 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: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
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.
