Monitoring VoIP call quality using improved simplified E-model

Assem, Haytham; Malone, David; Dunne, Jonathan; O’Sullivan, Pat

doi:10.1109/iccnc.2013.6504214

Cited by 41 publications

(26 citation statements)

References 4 publications

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“…POLQA has sought to address some of the known shortcomings of PESQ, but only a small number of recent publications, e.g., [25], have begun to evaluate the performance of POLQA for VoIP issues. PESQ is still worthy of analysis as recently published research continues to use PESQ for VoIP speech quality assessment, e.g., [26,27]. This paper presents the culmination of work from the authors [4,5,28] in developing a new objective metric of speech quality, called ViSQOL.…”

Section: Subjective and Objective Speech Quality Assessmentmentioning

confidence: 99%

ViSQOL: an objective speech quality model

Hines

Skoglund

Kokaram

et al. 2015

J AUDIO SPEECH MUSIC PROC.

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This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality Objective Listener. It is a signal-based, full-reference, intrusive metric that models human speech quality perception using a spectro-temporal measure of similarity between a reference and a test speech signal. The metric has been particularly designed to be robust for quality issues associated with Voice over IP (VoIP) transmission. This paper describes the algorithm and compares the quality predictions with the ITU-T standard metrics PESQ and POLQA for common problems in VoIP: clock drift, associated time warping, and playout delays. The results indicate that ViSQOL and POLQA significantly outperform PESQ, with ViSQOL competing well with POLQA. An extensive benchmarking against PESQ, POLQA, and simpler distance metrics using three speech corpora (NOIZEUS and E4 and the ITU-T P.Sup. 23 database) is also presented. These experiments benchmark the performance for a wide range of quality impairments, including VoIP degradations, a variety of background noise types, speech enhancement methods, and SNR levels. The results and subsequent analysis show that both ViSQOL and POLQA have some performance weaknesses and under-predict perceived quality in certain VoIP conditions. Both have a wider application and robustness to conditions than PESQ or more trivial distance metrics. ViSQOL is shown to offer a useful alternative to POLQA in predicting speech quality in VoIP scenarios.

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Section: Subjective and Objective Speech Quality Assessmentmentioning

confidence: 99%

ViSQOL: an objective speech quality model

Hines

Skoglund

Kokaram

et al. 2015

J AUDIO SPEECH MUSIC PROC.

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“…Corrected versions of the E-model have been proposed to simplify the calculations and focus on the most important factors required for monitoring the call quality [8]. Paulsen et al [9] introduced a new parametrized QoS measurement method for VoIP applications.…”

Section: Related Workmentioning

confidence: 99%

Improved E-model for monitoring quality of multi-party VoIP communications

Adel

Assem

Jennings

et al. 2013

2013 IEEE Globecom Workshops (GC Wkshps)

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Abstract-Maintaining good Quality-of-Experience (QoE) is crucial for Voice-over-IP (VoIP) applications, particularly those operating across the public Internet. Accurate online estimation of QoE as perceived by end users allows VoIP applications take steps to improve QoE when it falls below acceptable levels. ITU-T recommendation G.107 introduced the E-model, which provides a means to assess QoE levels for two-party VoIP sessions. In this paper we provide an analysis of the accuracy of the E-model for multi-party VoIP sessions when all audio is processed by a centralised focus node. We analyse the impact of what we term the "Focus Transcoding Effect (FTE)," the "Focus Forwarding Effect (FFE)," and the number of end-points participating in the session. Through comparison to QoE metrics produced by the offline PESQ method for three common audio codecs, we show that the standard E-model does not provide accurate QoE assessment for multi-party VoIP sessions. We then introduce an improved Emodel for these codecs for multi-party VoIP sessions. We describe the implementation of the improved E-model in a QoE monitoring application, showing that it produces results similar to actual PESQ scores.

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“…We use one of the unused fields in RTCP RRs to include random and burst losses. In order to derive the <d network , MOS network > pair, we directly use the delay from the RTCP RR whilst we map the burst ratio, random packet loss and with the known codec used into MOS using the corrected simplified E-model [12]. In order to measure the expected call quality from using different RS codes, we added nT as a worst case delay overhead depending on the used RS code.…”

Section: Proposed Apu Algorithmmentioning

confidence: 99%

A new adaptive redundancy control algorithm for VoIP applications

Assem

Malone

Dunne³

et al. 2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Abstract-1 Packet loss is one of the most important factors in degrading Voice over IP (VoIP) perceived call quality. Forward Error Correction (FEC) is a powerful technique for transmitting audio streams over the IP network to decrease the effect of packet loss. Although these method reduces the effect of packet loss, it increases the bandwidth and delay in order to recover from the lost packets. In this paper, we propose a new adaptive FEC mechanism for voice calls based on the generated codewords from a Reed-Solomon (RS) encoder. This mechanism chooses the optimum RS code from a family of codes to improve the conversational call quality. Our proposed mechanism is able to switch between different codes during the call to account for the variation of the network conditions including packet loss and delay. We have deduced the proposed algorithm by performing subjective mean opinion score (MOS) testing based on an interactive assessment tests. We show that our adaptive algorithm outperforms fixed RS codes under highly varying network conditions.

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Monitoring VoIP call quality using improved simplified E-model

Cited by 41 publications

References 4 publications

ViSQOL: an objective speech quality model

ViSQOL: an objective speech quality model

Improved E-model for monitoring quality of multi-party VoIP communications

A new adaptive redundancy control algorithm for VoIP applications

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