A subspace based progressive coding method for speech compression
Yazarlar (4)
Doç. Dr. Serkan KESER Kırşehir Ahi Evran Üniversitesi, Türkiye
Ömer Nezih Gerek Anadolu Üniversitesi, Türkiye
Erol Seke Eskişehir Osmangazi Üniversitesi, Türkiye
Mehmet Bilginer Gülmezoğlu
Eskişehir Osmangazi Üniversitesi, Türkiye
Eskişehir Osmangazi Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Speech Communication (Q3) | ||
| Dergi ISSN | 0167-6393 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 11-2017 |
| Cilt / Sayı / Sayfa | 94 / 1 / 50–61 | DOI | 10.1016/j.specom.2017.09.002 |
| Makale Linki | http://dx.doi.org/10.1016/j.specom.2017.09.002 | ||
| Özet |
| In this study, two novel methods, which are based on Karhunen Loeve Transform (KLT) and Independent Component Analysis (ICA), are proposed for coding of speech signals. Instead of immediately dealing with eigenvalue magnitudes, the KLT- and ICA-based methods use eigenvectors of covariance matrices (or independent components for ICA) by geometrically grouping these vectors into fewer numbers of vectors. In this way, a data representation compaction is achieved. Further compression is achieved through discarding autocovariance eigenvectors corresponding to the small eigenvalues and applying vector quantization on the remaining eigenvectors. Additionally, this study proposes an iterative error refinement process, which uses the rest of the available bandwidth in order to transmit an efficient representation of the description error for better SNR. The overall process constitutes a new approach to … |
| Anahtar Kelimeler |
| Independent Component Analysis (ICA) | Karhunen Loeve Transform (KLT) | Speech codecs | Subspace methods |
Science Direct
A subspace based progressive coding method for speech compression
| Atıf Sayıları | |
| Google Scholar | 11 |
| Scopus | 1 |
| Web of Science | 6 |