普适环境下最优IP网络语音质量保证服务

Jinsul Kim, Hyun-Woo Lee, Won Ryu, B. Lee
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引用次数: 2

摘要

基于语音应用服务的普适计算必须提供前所未有的技术水平,以适应普适环境中不断变化的计算资源。在无所不在的环境下,语音业务是基于分组的,而语音信号在异构设备的IP网络上传输有许多不同的条件。在IP网络中,对语音信号的丢包和噪声进行控制,以保证语音信号的业务质量(QoS), IP网络负责语音信号的数字化、编码、解码和播放。为了提供高质量的基于语音的普适计算服务,我们实现了丢包隐藏(PLC)和降噪算法,称为PEA(普适环境适应)-PLC, PEA-降噪算法。提出的PEA-PLC算法在设备上解码后进行后处理,然后在语音编码前采用pea -降噪方法进行预处理。所提出的丢包和噪声pea算法在G.729A编解码器中得到了最优的应用,使用移动软电话和1端口网关PSTN电话系统。通过在各种丢包和噪声条件下的PESQ测量来评估所提方法的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voice Quality Guaranteed Service over Best-Effort IP Network for Pervasive Environments
Pervasive computing with voice application service must be providing unprecedented levels of technology in order to adapt the continually changed computing resources in ubiquitous environment. A number of conditions differ from the speech signal over IP network with heterogeneous devices while voice traffic is transported by packet-based in ubiquitous environment. In this paper, voice signals in packet loss and noise is controlled for the guaranteed quality of service (QoS) on the IP network which are responsible for digitizing, encoding, decoding, and playing out the speech signal. We implement the algorithms of packet loss concealment (PLC) and noise reduction, which is called PEA (pervasive environment adaptation)-PLC, PEA-noise reduction together, for providing high quality voice-based pervasive computing services. The proposed PEA-PLC algorithms are applied as post-processing after decoding on devices, and then PEA-noise reduction method is applied as pre-processing before speech coding. The proposed PEA-algorithms for packet loss and noise are applied in G.729A codec optimally using mobile-softphone and a 1-port gateway PSTN phone system. The performances of the proposed methods are evaluated by the PESQ measurement in various packet loss and noisy conditions
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