A novel method to represent the speech signals by using language and speaker independent predefined functions sets
dc.authorid | 0000-0002-4597-0954 | |
dc.authorid | 0000-0002-7008-4778 | |
dc.authorid | 0000-0003-1562-5524 | |
dc.contributor.author | Güz, Ümit | en_US |
dc.contributor.author | Gürkan, Hakan | en_US |
dc.contributor.author | Yarman, Bekir Sıddık Binboğa | en_US |
dc.date.accessioned | 2015-07-14T23:48:27Z | |
dc.date.available | 2015-07-14T23:48:27Z | |
dc.date.issued | 2004 | |
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 paper a new modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called Predefined Signature S={s(R)(t)} and Envelope Function E = {e(K)(t)} Sets (PSEFS). These function sets are independent of any speaker and any language. Once the speech signals are divided into frames with selected lengths, then each frame signal piece X-i(t) is synthesized by means of the mathematical form of x(i)(t)=C(i)e(K)(t)s(R)(t). In this representation, C-i is called the frame coefficient, s(R)(t) and e(K)(t) are properly assigned from the PSEFS respectively. It is shown that the proposed method provides fast reconstruction and substantial compression with acceptable hearing quality. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Güz, Ü., Gürkan, H. & Yarman, B. S. B. (2004). A novel method to represent the speech signals by using language and speaker independent predefined functions sets. Paper presented at the 2004 IEEE International Symposium on Circuits and Systems, 457-460. doi:10.1109/ISCAS.2004.1328782 | en_US |
dc.identifier.endpage | 460 | |
dc.identifier.isbn | 078038251X | |
dc.identifier.scopus | 2-s2.0-4344645595 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 457 | |
dc.identifier.uri | https://hdl.handle.net/11729/662 | |
dc.identifier.uri | http://dx.doi.org/10.1109/ISCAS.2004.1328782 | |
dc.identifier.wos | WOS:000223102200115 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Conference Proceedings Citation Index – Science (CPCI-S) | en_US |
dc.institutionauthor | Güz, Ümit | en_US |
dc.institutionauthor | Gürkan, Hakan | en_US |
dc.institutionauthor | Yarman, Bekir Sıddık Binboğa | en_US |
dc.institutionauthorid | 0000-0002-4597-0954 | |
dc.institutionauthorid | 0000-0002-7008-4778 | |
dc.institutionauthorid | 0000-0003-1562-5524 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2004 IEEE International Symposium on Circuits and Systems | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Auditory system | en_US |
dc.subject | Bandwidth | en_US |
dc.subject | Least squares approximation | en_US |
dc.subject | Mobile communication | en_US |
dc.subject | Natural languages | en_US |
dc.subject | Principal component analysis | en_US |
dc.subject | Satellite communication | en_US |
dc.subject | Signal synthesis | en_US |
dc.subject | Speech processing | en_US |
dc.subject | Speech synthesis | en_US |
dc.subject | Psefs | en_US |
dc.subject | Envelope function | en_US |
dc.subject | Frame coefficient | en_US |
dc.subject | Frame signal piece | en_US |
dc.subject | Hearing quality | en_US |
dc.subject | Language independent predefined function sets | en_US |
dc.subject | Predefined signature | en_US |
dc.subject | Signal compression | en_US |
dc.subject | Signal reconstruction | en_US |
dc.subject | Speaker independent predefined function sets | en_US |
dc.subject | Speech signal modeling | en_US |
dc.subject | Speech signal representation | en_US |
dc.subject | Signal representation | en_US |
dc.subject | Time-domain analysis | en_US |
dc.subject | Approximation theory | en_US |
dc.subject | Mathematical models | en_US |
dc.subject | Matrix algebra | en_US |
dc.subject | Mobile telecommunication systems | en_US |
dc.subject | Satellite communication systems | en_US |
dc.subject | Vectors | en_US |
dc.subject | Correlation matrix | en_US |
dc.subject | Transformation matrix | en_US |
dc.subject | Voice storage systems | en_US |
dc.subject | Signal processing | en_US |
dc.title | A novel method to represent the speech signals by using language and speaker independent predefined functions sets | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication |
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