Voice over IP performance monitoring
ACM SIGCOMM Computer Communication Review
Synchronized Two-Way Voice Simulation Tool for Internet Phone Performance Analysis and Evaluation
Proceedings of the 9th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
How does it sound? [voice clarity analysis]
IEEE Spectrum
Characterizing the subjective performance of the ITU-T 8 kb/s speech coding algorithm-ITU-T G.729
IEEE Communications Magazine
Integrated management architecture for IP-based networks
IEEE Communications Magazine
Real-time voice over packet-switched networks
IEEE Network: The Magazine of Global Internetworking
A survey of packet loss recovery techniques for streaming audio
IEEE Network: The Magazine of Global Internetworking
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
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A simulation-based methodology is developed for analyzing the subjective quality of voice-over-IP calls as a function of network QoS parameters and choices in implementation and configuration. The proposed method combines the use of existing objective voice-quality measurement algorithms, such as the ITU-T P.861 PSQM, and artificial voice reference signals, such as the ITU-T P.50, with the discrete-event simulation of a network QoS model. A significant advantage of the method is that it does not involve the use of human subjects in evaluating subjective voice quality levels. This enables one to entirely automate the process of quantifying call quality as a function of network QoS and implementation choices such as packet size and codec type. Such automation enables one to realize significant time and cost savings in obtaining experimental results. A tool implementation is described that includes basic network packet loss and delay jitter models. Example numerical results are presented for the G.711 codec. The extension of the method to the subjective quality evaluation of audio, video, and multimedia signals is also described. The paper also introduces the concepts of 'subjective teletraffic engineering' and 'subjective equivalent bandwidths.'