A novel method to represent speech signals
dc.authorid | 0000-0003-3017-7651 | |
dc.authorid | 0000-0003-1562-5524 | |
dc.contributor.author | Akdeniz, Rafet | en_US |
dc.contributor.author | Yarman, Bekir Sıddık Binboğa | en_US |
dc.date.accessioned | 2015-01-15T23:00:21Z | |
dc.date.available | 2015-01-15T23:00:21Z | |
dc.date.issued | 2005-01 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering | en_US |
dc.description.abstract | In this work, speech signals are modeled by means of the so-called pre-defined "signature functions". The pre-defined signature functions are generated using the statistical properties of the speech signals. It has been exhibited that, with a few basic signature functions, any speech signal can be generated within a tolerable error. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Akdeniz, R. & Yarman, B. S. B. (2005). A novel method to represent speech signals. Signal Processing, 85(1), 37-50. doi:10.1016/j.sigpro.2004.08.012 | en_US |
dc.identifier.doi | 10.1016/j.sigpro.2004.08.012 | |
dc.identifier.endpage | 50 | |
dc.identifier.issn | 0165-1684 | |
dc.identifier.issn | 1872-7557 | |
dc.identifier.issue | 1 | |
dc.identifier.scopus | 2-s2.0-9944222714 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 37 | |
dc.identifier.uri | https://hdl.handle.net/11729/197 | |
dc.identifier.uri | http://dx.doi.org/10.1016/j.sigpro.2004.08.012 | |
dc.identifier.volume | 85 | |
dc.identifier.wos | WOS:000225659700004 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Science Citation Index Expanded (SCI-EXPANDED) | en_US |
dc.institutionauthor | Yarman, Bekir Sıddık Binboğa | en_US |
dc.institutionauthorid | 0000-0003-1562-5524 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Elsevier Science BV | en_US |
dc.relation.ispartof | Signal Processing | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Speech coding | en_US |
dc.subject | Speech modeling | en_US |
dc.subject | Signal representation | en_US |
dc.subject | Electrocardiography | en_US |
dc.subject | Data compression | en_US |
dc.subject | Signal compression | en_US |
dc.subject | Bandwidth | en_US |
dc.subject | Fuzzy sets | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Signal encoding | en_US |
dc.subject | Statistical methods | en_US |
dc.subject | Signature function | en_US |
dc.subject | Synthetic neural networks | en_US |
dc.subject | Signal processing | en_US |
dc.title | A novel method to represent speech signals | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |
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