A Packet Loss Concealment Technique Improving Quality of Service for Wideband Speech Coding in Wireless Sensor Networks-Reference-Cited by-同舟云学术

A Packet Loss Concealment Technique Improving Quality of Service for Wideband Speech Coding in Wireless Sensor Networks

Published:2014-04-01 Issue:4 Volume:10 Page:852798
ISSN:1550-1477
Container-title:International Journal of Distributed Sensor Networks
language:en
Short-container-title:International Journal of Distributed Sensor Networks

Author:

Park Nam In¹,Kang Jin Ah²,Lee Seong Ro³,Kim Hong Kook¹^ORCID

Affiliation:

1. School of Information and Communications, Gwangju Institute of Science and Technology (GIST), 123 Cheomdangwagi-ro, Buk-gu, Gwangju 500-712, Republic of Korea

2. Smart-Work Research Section, Wired & Wireless Convergence Research Department, Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, Republic of Korea

3. Department of Information & Electronics, College of Engineering, Mokpo National University, 1666 Youngsan-ro, Cheonggye-myeon, Muan-gun, Jeonnam 534-729, Republic of Korea

Abstract

A packet loss concealment (PLC) algorithm is proposed to improve the quality of decoded speech when packet losses occur in a wireless sensor network. The proposed algorithm is mainly based on artificial bandwidth extension (ABE) from narrowband to wideband. It consists of three main functions: packet loss concealment in the narrowband, ABE in the modified discrete cosine transform (MDCT) domain, and smoothing of wideband MDCT coefficients with those of the last good frame. The performance of the proposed PLC algorithm is implemented by replacing the PLC algorithm employed in the ITU-T Recommendation G.729.1. The experimental results show that the proposed PLC algorithm provides significantly better speech quality than the PLC in the ITU-T G.729.1.

Funder

National Research Foundation of Korea

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1155/2014/852798

Reference24 articles.

1. Catch You as I Can: Indoor Localization via Ambient Sound Signature and Human Behavior

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