Wavelet filtering based on Mellin transform dedicated to cochlear prostheses.
Identifieur interne : 000048 ( Main/Exploration ); précédent : 000047; suivant : 000049Wavelet filtering based on Mellin transform dedicated to cochlear prostheses.
Auteurs : Amira Derbel [Tunisie] ; Fathi Kalel ; Ahmed Ben Hamida ; Mounir SametSource :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [ 2375-7477 ] ; 2007.
Descripteurs français
- KwdFr :
- Algorithmes (MeSH), Analyse de Fourier (MeSH), Cochlée (anatomie et histologie), Conception d'appareillage (MeSH), Facteurs temps (MeSH), Humains (MeSH), Implants cochléaires (MeSH), Interprétation statistique de données (MeSH), Logiciel (MeSH), Modèles statistiques (MeSH), Ouïe (MeSH), Perception de la parole (MeSH), Surdité (rééducation et réadaptation), Traitement du signal assisté par ordinateur (MeSH), Électrodes (MeSH).
- MESH :
- anatomie et histologie : Cochlée.
- rééducation et réadaptation : Surdité.
- Algorithmes, Analyse de Fourier, Conception d'appareillage, Facteurs temps, Humains, Implants cochléaires, Interprétation statistique de données, Logiciel, Modèles statistiques, Ouïe, Perception de la parole, Traitement du signal assisté par ordinateur, Électrodes.
English descriptors
- KwdEn :
- Algorithms (MeSH), Cochlea (anatomy & histology), Cochlear Implants (MeSH), Data Interpretation, Statistical (MeSH), Deafness (rehabilitation), Electrodes (MeSH), Equipment Design (MeSH), Fourier Analysis (MeSH), Hearing (MeSH), Humans (MeSH), Models, Statistical (MeSH), Signal Processing, Computer-Assisted (MeSH), Software (MeSH), Speech Perception (MeSH), Time Factors (MeSH).
- MESH :
- anatomy & histology : Cochlea.
- rehabilitation : Deafness.
- Algorithms, Cochlear Implants, Data Interpretation, Statistical, Electrodes, Equipment Design, Fourier Analysis, Hearing, Humans, Models, Statistical, Signal Processing, Computer-Assisted, Software, Speech Perception, Time Factors.
Abstract
Current speech processing strategies for cochlear prosthesis system use filter bank structure in order to extract speech signal's energies relatively to the multiple frequency bands which are associated to the dedicated stimulation electrodes. This research concerned wavelet filtering module based on Mellin transform and dedicated to one cochlear speech processing strategy. Our bank filtering module was composed of twenty one filters designed according to Morlet mother wavelet and distributed along the Munich critical bands. Hence, our considered auditory spectrum would be divided into twenty one critical frequency bands according to ERB model (Equivalent Rectangular Bandwidth) which would be similar to auditory model. Continuous wavelet transform based Filters' outputs would processed in order to provide the relatively energy levels which would be considered as the targeted stimulation levels. Mellin transform used in this processing permitted a fast algorithm execution compared to one standard CWT based filtering module. Algorithm validation was approved using different input signals as pure harmonics first and then real speech signals extracted from TIMIT database. Our proposed strategy ensures not only execution rapidity but also flexibility in programming, easiness in use as well as different safety features that could help reaching each individual's needs.
DOI: 10.1109/IEMBS.2007.4352687
PubMed: 18002353
Affiliations:
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Le document en format XML
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IEEE Engineering in Medicine and Biology Society. Annual International Conference</title><idno type="ISSN">2375-7477</idno><imprint><date when="2007" type="published">2007</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms (MeSH)</term><term>Cochlea (anatomy & histology)</term><term>Cochlear Implants (MeSH)</term><term>Data Interpretation, Statistical (MeSH)</term><term>Deafness (rehabilitation)</term><term>Electrodes (MeSH)</term><term>Equipment Design (MeSH)</term><term>Fourier Analysis (MeSH)</term><term>Hearing (MeSH)</term><term>Humans (MeSH)</term><term>Models, Statistical (MeSH)</term><term>Signal Processing, Computer-Assisted (MeSH)</term><term>Software (MeSH)</term><term>Speech Perception (MeSH)</term><term>Time Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes (MeSH)</term><term>Analyse de Fourier (MeSH)</term><term>Cochlée (anatomie et histologie)</term><term>Conception d'appareillage (MeSH)</term><term>Facteurs temps (MeSH)</term><term>Humains (MeSH)</term><term>Implants cochléaires (MeSH)</term><term>Interprétation statistique de données (MeSH)</term><term>Logiciel (MeSH)</term><term>Modèles statistiques (MeSH)</term><term>Ouïe (MeSH)</term><term>Perception de la parole (MeSH)</term><term>Surdité (rééducation et réadaptation)</term><term>Traitement du signal assisté par ordinateur (MeSH)</term><term>Électrodes (MeSH)</term></keywords><keywords scheme="MESH" qualifier="anatomie et histologie" xml:lang="fr"><term>Cochlée</term></keywords><keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Cochlea</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Deafness</term></keywords><keywords scheme="MESH" qualifier="rééducation et réadaptation" xml:lang="fr"><term>Surdité</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Cochlear Implants</term><term>Data Interpretation, Statistical</term><term>Electrodes</term><term>Equipment Design</term><term>Fourier Analysis</term><term>Hearing</term><term>Humans</term><term>Models, Statistical</term><term>Signal Processing, Computer-Assisted</term><term>Software</term><term>Speech Perception</term><term>Time Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Analyse de Fourier</term><term>Conception d'appareillage</term><term>Facteurs temps</term><term>Humains</term><term>Implants cochléaires</term><term>Interprétation statistique de données</term><term>Logiciel</term><term>Modèles statistiques</term><term>Ouïe</term><term>Perception de la parole</term><term>Traitement du signal assisté par ordinateur</term><term>Électrodes</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Current speech processing strategies for cochlear prosthesis system use filter bank structure in order to extract speech signal's energies relatively to the multiple frequency bands which are associated to the dedicated stimulation electrodes. This research concerned wavelet filtering module based on Mellin transform and dedicated to one cochlear speech processing strategy. Our bank filtering module was composed of twenty one filters designed according to Morlet mother wavelet and distributed along the Munich critical bands. Hence, our considered auditory spectrum would be divided into twenty one critical frequency bands according to ERB model (Equivalent Rectangular Bandwidth) which would be similar to auditory model. Continuous wavelet transform based Filters' outputs would processed in order to provide the relatively energy levels which would be considered as the targeted stimulation levels. Mellin transform used in this processing permitted a fast algorithm execution compared to one standard CWT based filtering module. Algorithm validation was approved using different input signals as pure harmonics first and then real speech signals extracted from TIMIT database. Our proposed strategy ensures not only execution rapidity but also flexibility in programming, easiness in use as well as different safety features that could help reaching each individual's needs.</div></front></TEI><affiliations><list><country><li>Tunisie</li></country></list><tree><noCountry><name sortKey="Hamida, Ahmed Ben" sort="Hamida, Ahmed Ben" uniqKey="Hamida A" first="Ahmed Ben" last="Hamida">Ahmed Ben Hamida</name><name sortKey="Kalel, Fathi" sort="Kalel, Fathi" uniqKey="Kalel F" first="Fathi" last="Kalel">Fathi Kalel</name><name sortKey="Samet, Mounir" sort="Samet, Mounir" uniqKey="Samet M" first="Mounir" last="Samet">Mounir Samet</name></noCountry><country name="Tunisie"><noRegion><name sortKey="Derbel, Amira" sort="Derbel, Amira" uniqKey="Derbel A" first="Amira" last="Derbel">Amira Derbel</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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