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Where packet traces meet speech samples: an instrumental approach to perceptual QoS evaluation of VoIP

机译:数据包走线遇到语音样本的地方:一种用于VoIP感知QoS评估的工具方法

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With the increasing deployment of real-time Internet services, evaluating the user perception of quality of service (QoS) has gained rapidly increasing importance. In the case of Voice over IP (VoIP), the standard approach of listening-only tests for subjectively assessing a limited number of speech samples, which are supposed to be representative for selected network conditions, does in no way reflect the huge variability of packet loss patterns that may originate from the underlying network. Performing tests by employing objective (instrumental) evaluation methods in a live testbed environment is usually extensive and does not deliver reproducible results, moreover the measurement granularity is bounded by the length of the test speech samples. In this paper, we propose a methodology that circumvents these limitations by employing arbitrary packet traces and successively matching the encoded speech sample with all possible trace fragments. This approach allows for continuous perceptual evaluation of VoIP traffic carried over various QoS-enabled transmission technologies. Results based on traces from testbed measurements reflecting different Web-like cross traffic situations for both the G.729 and iLBC codecs validate our approach and allow interesting insights into the dependence of perceived VoIP quality on underlying technological conditions.
机译:随着实时Internet服务的部署不断增加,评估用户对服务质量(QoS)的感知已变得越来越重要。在IP语音(VoIP)的情况下,用于主观评估有限数量语音样本的纯侦听测试的标准方法被认为可以代表所选的网络条件,但它绝不会反映出数据包的巨大可变性可能源自基础网络的丢失模式。在现场测试平台环境中采用客观(仪器)评估方法进行测试通常很繁琐,并且无法提供可重现的结果,而且,测试粒度取决于测试语音样本的长度。在本文中,我们提出了一种方法,该方法通过采用任意的数据包跟踪并将编码的语音样本与所有可能的跟踪片段相继匹配来规避这些限制。这种方法允许对通过各种启用QoS的传输技术承载的VoIP流量进行连续的感知评估。基于来自测试台测量的迹线的结果反映了G.729和iLBC编解码器的不同Web交叉流量情况,从而验证了我们的方法,并为了解VoIP质量对基础技术条件的依赖性提供了有趣的见解。

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