Development of low bit rate speech encoder based on vector quantization and compressive sensing

Kassim, Liban A. S. and Gunawan, Teddy Surya and Khalifa, Othman Omran and Kartiwi, Mira and Sulong, Amart and Abdullah, Khaizuran and Hasbullah, Nurul Fadzlin (2012) Development of low bit rate speech encoder based on vector quantization and compressive sensing. Journal of Applied Sciences. pp. 1-11. ISSN 1812-5662 (O), 1812-5654 (P) (In Press)

PDF - Published Version Restricted to Registered users only Download (522kB) | Request a copy

Abstract

Speech coding is a representation of a digitized speech signal using as few bits as possible, while maintaining reasonable level of speech quality. Due to growing need for bandwidth conservation in wireless communication, the research in speech coding has increased. Recently, Compressive Sensing (CS) is gaining a great interest because of its ability to recover original signals by taking only few measurements. CS is a new approach that goes against the common data acquisition methods. In this research, a new system of speech encoding system is developed using compressive sensing. Since CS performs well in sparse signals, different sparsifying transforms are analyzed and compared using Gini coefficient. The quality of the speech coder is evaluated using Perceptual Evaluation of Speech Quality (PESQ), Signal-to-Noise Ratio (SNR) and subjective listening tests. Results show that the speech coders have achieved a PESQ score of 3.16 at 4 kbps which is a good quality as confirmed by listening tests. Furthermore, the coder is also compared with Code Excited Linear Prediction (CELP) coder.

Item Type:	Article (Journal)
Additional Information:	5588/27577
Uncontrolled Keywords:	Low bit rate coding, compressive sensing, Gini index, subjective evaluation, objective evaluation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	28 Dec 2012 15:21
Last Modified:	23 Oct 2020 08:58
URI:	http://irep.iium.edu.my/id/eprint/27577

Actions (login required)

View Item