Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.
 

Residual Lsf Vector Quantization Using Arma Prediction

Loading...
Publication Logo

Date

2016

Journal Title

Journal ISSN

Volume Title

Publisher

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Journal Issue

Abstract

The residual LSF vector quantization yields bit rate reduction in the vocoders. In this work, a residual LSF vector quantization obtained from Auto Regressive Moving Average (ARMA) prediction is proposed for designing codebooks at very low bit rates. This residual quantization method is applied to multi stage vector quantization method and codebooks are designed. For each codebook, the effectiveness and quality are investigated by calculating the spectral distortion and outliers. The proposed quantization method reduced the distortion without any additional complexity.

Description

Keywords

Very Low Bit Rate, Speech Processing, Residual Vector Quantization, Formant Tracking, ARMA Prediction

Fields of Science

Citation

Özaydın, Selma (2016). "Residual Lsf Vector Quantization Using Arma Prediction", International Journal of Applied Mathematics, Electronics and Computers, Vol. 4, pp. 79-81.

WoS Q

Scopus Q

Source

International Journal of Applied Mathematics, Electronics and Computers

Volume

4

Issue

Start Page

79

End Page

81
Page Views

198

checked on Apr 10, 2026

Downloads

179

checked on Apr 10, 2026

Google Scholar Logo
Google Scholar™

Sustainable Development Goals

SDG data is not available