dc.contributor.author | Akdeniz, Rafet | en_US |
dc.contributor.author | Yarman, Bekir Sıddık Binboğa | en_US |
dc.date.accessioned | 2019-08-31T12:10:23Z | |
dc.date.accessioned | 2019-08-05T16:05:08Z | |
dc.date.available | 2019-08-31T12:10:23Z | |
dc.date.available | 2019-08-05T16:05:08Z | |
dc.date.issued | 2000 | |
dc.identifier.citation | Akdeniz, R. & Yarman, B. S. B. (2000). Representation of speech signals by single signature base function within optimum frame length. Paper presented at the Midwest Symposium on Circuits and Systems, 3, 1282-1285. doi:10.1109/MWSCAS.2000.951449 | en_US |
dc.identifier.isbn | 0780364759 | |
dc.identifier.issn | 1548-3746 | |
dc.identifier.uri | https://hdl.handle.net/11729/2067 | |
dc.identifier.uri | https://dx.doi.org/10.1109/MWSCAS.2000.951449 | |
dc.description.abstract | Before this study, we proposed a novel method to represent signals in terms of, so called, “Signature Base Functions-SBF" which were extracted from the physical features of the waveform under consideration. SBF were determined in ad-hoc manner, which requires tedious search process, and they were not orthogonal. Furthermore, optimality of SBF was in question. In this work however, we suggest a well-organized procedure to generate “Optimum Orthogonal Signature Base Functions-OSBF" for selected waveforms, which in turn provides excellent means for signal representations. It is shown that the new method of signal representation, which is based on OSBF, requires less computation time with substantial signal compression and results in efficient speaker dependent recognition. | en_US |
dc.description.sponsorship | IEEE Circuits & Syst Soc; Michigan State Univ, Dept Elect Engn | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | 10.1109/MWSCAS.2000.951449 | |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Computer simulation | en_US |
dc.subject | Concrete | en_US |
dc.subject | Data compression | en_US |
dc.subject | Discrete time systems | en_US |
dc.subject | Eigenvalues and eigenfunctions | en_US |
dc.subject | Electrocardiography | en_US |
dc.subject | Functions | en_US |
dc.subject | Matrix algebra | en_US |
dc.subject | Noise measurement | en_US |
dc.subject | Optimum orthogonal signature base functions | en_US |
dc.subject | Optimum frame length | en_US |
dc.subject | Signal compression | en_US |
dc.subject | Signal generators | en_US |
dc.subject | Signal representation | en_US |
dc.subject | Signal representations | en_US |
dc.subject | Signal compression | en_US |
dc.subject | Signal reconstruction | en_US |
dc.subject | Single signature base function | en_US |
dc.subject | Speaker dependent recognition | en_US |
dc.subject | Speaker recognition | en_US |
dc.subject | Speech | en_US |
dc.subject | Speech processing | en_US |
dc.subject | Speech waveform | en_US |
dc.subject | Speech recognition | en_US |
dc.subject | Speech signal representation | en_US |
dc.subject | Table lookup | en_US |
dc.subject | Telecommunications | en_US |
dc.subject | Tin | en_US |
dc.title | Representation of speech signals by single signature base function within optimum frame length | en_US |
dc.type | conferenceObject | en_US |
dc.description.version | Publisher's Version | en_US |
dc.relation.journal | Midwest Symposium on Circuits and Systems | en_US |
dc.contributor.department | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.contributor.department | Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering | en_US |
dc.contributor.authorID | 0000-0003-1562-5524 | |
dc.identifier.volume | 3 | |
dc.identifier.startpage | 1282 | |
dc.identifier.endpage | 1285 | |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.contributor.institutionauthor | Yarman, Bekir Sıddık Binboğa | en_US |
dc.relation.index | WOS | en_US |
dc.relation.index | Scopus | en_US |
dc.relation.index | Conference Proceedings Citation Index – Science (CPCI-S) | en_US |
dc.description.wosid | WOS:000172099300298 | |