• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用多个码本和舒适噪声的突发分组丢失隐藏技术,用于无线传感器网络中的 CELP 型语音编码器。

Burst packet loss concealment using multiple codebooks and comfort noise for CELP-type speech coders in wireless sensor networks.

机构信息

School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju 500-712, Korea.

出版信息

Sensors (Basel). 2011;11(5):5323-36. doi: 10.3390/s110505323. Epub 2011 May 17.

DOI:10.3390/s110505323
PMID:22163902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3231404/
Abstract

In this paper, a packet loss concealment (PLC) algorithm for CELP-type speech coders is proposed in order to improve the quality of decoded speech under burst packet loss conditions in a wireless sensor network. Conventional receiver-based PLC algorithms in the G.729 speech codec are usually based on speech correlation to reconstruct the decoded speech of lost frames by using parameter information obtained from the previous correctly received frames. However, this approach has difficulty in reconstructing voice onset signals since the parameters such as pitch, linear predictive coding coefficient, and adaptive/fixed codebooks of the previous frames are mostly related to silence frames. Thus, in order to reconstruct speech signals in the voice onset intervals, we propose a multiple codebook-based approach that includes a traditional adaptive codebook and a new random codebook composed of comfort noise. The proposed PLC algorithm is designed as a PLC algorithm for G.729 and its performance is then compared with that of the PLC algorithm currently employed in G.729 via a perceptual evaluation of speech quality, a waveform comparison, and a preference test under different random and burst packet loss conditions. It is shown from the experiments that the proposed PLC algorithm provides significantly better speech quality than the PLC algorithm employed in G.729 under all the test conditions.

摘要

本文提出了一种用于 CELP 型语音编码器的分组丢失隐藏(PLC)算法,以提高无线传感器网络中突发分组丢失情况下解码语音的质量。G.729 语音编解码器中的传统基于接收机的 PLC 算法通常基于语音相关性,通过使用从前一个正确接收的帧中获得的参数信息来重建丢失帧的解码语音。然而,这种方法在重建语音起始信号时存在困难,因为前一帧的参数,如基音、线性预测编码系数和自适应/固定码本,主要与静音帧有关。因此,为了在语音起始间隔中重建语音信号,我们提出了一种基于多个码本的方法,该方法包括传统的自适应码本和由舒适噪声组成的新的随机码本。所提出的 PLC 算法被设计为 G.729 的 PLC 算法,然后通过语音质量感知评估、波形比较和在不同随机和突发分组丢失条件下的偏好测试,将其性能与 G.729 中当前使用的 PLC 算法进行比较。实验结果表明,在所测试的所有条件下,所提出的 PLC 算法比 G.729 中使用的 PLC 算法提供了显著更好的语音质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/12436c851ca1/sensors-11-05323f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/5865bd268aa0/sensors-11-05323f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/1ca2cfc6f288/sensors-11-05323f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/fadc4f5218b9/sensors-11-05323f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/dfd00645b868/sensors-11-05323f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/82b8dd08584c/sensors-11-05323f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/0a82a96aec9d/sensors-11-05323f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/addb963f81dd/sensors-11-05323f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/12436c851ca1/sensors-11-05323f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/5865bd268aa0/sensors-11-05323f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/1ca2cfc6f288/sensors-11-05323f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/fadc4f5218b9/sensors-11-05323f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/dfd00645b868/sensors-11-05323f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/82b8dd08584c/sensors-11-05323f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/0a82a96aec9d/sensors-11-05323f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/addb963f81dd/sensors-11-05323f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/475d/3231404/12436c851ca1/sensors-11-05323f8.jpg

相似文献

1
Burst packet loss concealment using multiple codebooks and comfort noise for CELP-type speech coders in wireless sensor networks.使用多个码本和舒适噪声的突发分组丢失隐藏技术,用于无线传感器网络中的 CELP 型语音编码器。
Sensors (Basel). 2011;11(5):5323-36. doi: 10.3390/s110505323. Epub 2011 May 17.
2
A temporal-spectral generative adversarial network based end-to-end packet loss concealment for wideband speech transmission.基于时频生成对抗网络的端到端分组丢失隐藏技术在宽带语音传输中的应用。
J Acoust Soc Am. 2021 Oct;150(4):2577. doi: 10.1121/10.0006528.
3
Speech quality estimation of voice over internet protocol codec using a packet loss impairment model.基于丢包损伤模型的互联网电话语音质量估计
J Acoust Soc Am. 2013 Nov;134(5):EL438-44. doi: 10.1121/1.4824628.
4
Adaptive redundant speech transmission over wireless multimedia sensor networks based on estimation of perceived speech quality.基于感知语音质量估计的无线多媒体传感器网络中的自适应冗余语音传输。
Sensors (Basel). 2011;11(9):8469-84. doi: 10.3390/s110908469. Epub 2011 Aug 31.
5
Video loss prediction model in wireless networks.无线网络中的视频丢失预测模型。
PLoS One. 2019 Mar 6;14(3):e0212407. doi: 10.1371/journal.pone.0212407. eCollection 2019.
6
Speech synthesis by glottal excited linear prediction.基于声门激励线性预测的语音合成。
J Acoust Soc Am. 1994 Oct;96(4):2026-36. doi: 10.1121/1.411319.
7
Prolonging the lifetime of wireless sensor networks interconnected to fixed network using hierarchical energy tree based routing algorithm.使用基于分层能量树的路由算法延长与固定网络互连的无线传感器网络的寿命。
ScientificWorldJournal. 2014;2014:158420. doi: 10.1155/2014/158420. Epub 2014 Oct 27.
8
Multipath routing in wireless sensor networks: survey and research challenges.无线传感器网络中的多径路由:调查与研究挑战。
Sensors (Basel). 2012;12(1):650-85. doi: 10.3390/s120100650. Epub 2012 Jan 9.
9
An efficient management system for wireless sensor networks.一种高效的无线传感器网络管理系统。
Sensors (Basel). 2010;10(12):11400-13. doi: 10.3390/s101211400. Epub 2010 Dec 13.
10
Ambulatory Phonation Monitoring With Wireless Microphones Based on the Speech Energy Envelope: Algorithm Development and Validation.基于语音能量包络的无线麦克风动态发声监测:算法开发与验证。
JMIR Mhealth Uhealth. 2020 Dec 3;8(12):e16746. doi: 10.2196/16746.

引用本文的文献

1
Adaptive redundant speech transmission over wireless multimedia sensor networks based on estimation of perceived speech quality.基于感知语音质量估计的无线多媒体传感器网络中的自适应冗余语音传输。
Sensors (Basel). 2011;11(9):8469-84. doi: 10.3390/s110908469. Epub 2011 Aug 31.

本文引用的文献

1
Adaptive-compression based congestion control technique for wireless sensor networks.基于自适应压缩的无线传感器网络拥塞控制技术。
Sensors (Basel). 2010;10(4):2919-45. doi: 10.3390/s100402919. Epub 2010 Mar 29.