利用信道编码提高IP上的语音质量

R. Agrawal, N. Gupta
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摘要

VoIP (Voice over Internet protocol)是一种利用Internet协议在网络上进行语音传输的技术。在过去的几年里,由于公共互联网的指数级增长引领了IP世界的发展,IP网络变得越来越流行。长途电话,特别是国际用户拨号(ISD),如果由IP网络而不是PSTN支持,可以大大降低成本。任何呼叫都由VoIP技术支持,它涉及在IP网络上传输许多单独的数据包。因此,VoIP通话的费用部分取决于必须传输的数据包的数量和大小。因此,语音(源)压缩技术被用于减少所需的带宽,以降低成本和减少网络的延迟影响。但是,压缩技术也增加了网络损害。当数据包通过网络传输时,它们会受到损伤的影响,比如数据包丢失和端到端延迟。VoIP服务提供商的主要议程是提供良好的服务质量(QoS)。本研究工作的目的是尽量减少由于上述网络缺陷导致的信道误差,从而提高声音质量,并分析使用信道编码方案和不使用信道编码方案的语音质量。有两种测量技术,主观和客观。在主观方法中,我们测量平均意见分数(MOS),在客观方法中,我们使用匹配算法来测量源编码系统和源信道联合编码系统的解码输出之间的差异。在这项工作中,采用了客观方法,观察到系统的性能有了明显的提高
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To improve the voice quality over IP using channel coding
Voice over Internet protocol (VoIP) is the transmission of voice over networks using the internet protocol. IP networks have become increasingly popular in the past few years, due to the exponential growth of the public internet leading the way in to the IP world. Long distance calls, especially international subscriber dialing (ISD), can be made significantly less expensive when supported by an IP network rather than by the PSTN. Any call made is supported by VoIP technology and it involves the transmission of many individual packets over an IP network. Thus the cost of VoIP calls in part depends on the number and size of packets that must be transmitted. So voice (source) compression technology is used to reduce the amount of bandwidth required in order to reduce cost and to reduce the delay impact from network. But, compression techniques increase the network impairments also. When packets are transmitted through network they are affected by impairments, like packet drop and end-to-end delay. The main agenda of VoIP service providers is to provide good quality of service (QoS). The objective of this research work done is to minimize, the error introduced in channel due to the above mentioned network impairments and hence improve the quality of sound, and also analyze the voice quality with and without use of channel coding scheme. There are two measuring techniques, subjective and objective. In subjective method we measure the mean opinion score (MOS) and use matching algorithms in objective methods to measure the difference between decoded outputs of source coding system and joint source-channel coding system. In this work, the objective method is used and it is observed that the performance of the system improves significantly
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