DSpace@Çankaya

Design and Comparison of Vector Quantization Codebooks for Narrowband Speech Coding

Basit öğe kaydını göster

dc.contributor.author Faraj, Hiba
dc.contributor.author Özaydın, Selma
dc.date.accessioned 2020-05-20T10:00:18Z
dc.date.available 2020-05-20T10:00:18Z
dc.date.issued 2019-07
dc.identifier.citation Faraj, H.; Ozaydin, S., "Design and Comparison of Vector Quantization Codebooks for Narrowband Speech Coding", Universal Journal of Electrical and Electronic Engineering, Vol. 6, No. 3, pp. 139-146, (2019). tr_TR
dc.identifier.issn 23323280
dc.identifier.uri http://hdl.handle.net/20.500.12416/3955
dc.description.abstract Vector quantization codebook algorithms are used for coding of narrow band speech signals. Multi-stage vector quantization and split vector quantization methods are two important techniques used for coding of narrowband speech signals and these methods are very popular due to the high bit rate minimization during coding of the signals. This paper presents performance measurements of multistage vector quantization and split vector quantization methods. We used line spectral frequencies for coding of the speech signals in codebook tables so as to ensure filter stability after quantization. The codebooks were generated by using the Linde-Buzo-Gray (LBG) algorithm. The tests were performed by selecting large amount of input data in training and test stages and to evaluate noise robustness of the methods, both noisy and clean speech signals were used. As a result, different codebooks were designed and tested in many stages and different bit rates to measure quantization performance. It is measured in terms of spectral distortion evaluation. We obtained the best result in 24bit multistage vector quantization codebook with a spectral distortion less than 1 dB for clean speech training data input. When we compared multistage and split vector quantization codebook spectral distortion results, multistage codebooks gave better performance in each option. tr_TR
dc.language.iso eng tr_TR
dc.publisher Horizon Research Publishing tr_TR
dc.relation.isversionof 10.13189/ujeee.2019.060307 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Line Spectral Frequencies tr_TR
dc.subject Codebook Design tr_TR
dc.subject Multistage Vector Quantization tr_TR
dc.subject Linear Predictive Coding tr_TR
dc.subject Split Vector Quantization tr_TR
dc.title Design and Comparison of Vector Quantization Codebooks for Narrowband Speech Coding tr_TR
dc.type article tr_TR
dc.relation.journal Universal Journal of Electrical and Electronic Engineering tr_TR
dc.contributor.authorID 253019 tr_TR
dc.identifier.volume 6 tr_TR
dc.identifier.issue 3 tr_TR
dc.identifier.startpage 139 tr_TR
dc.identifier.endpage 146 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği tr_TR


Bu öğenin dosyaları:

Dosyalar Boyut Biçim Göster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster