Impact of IP channel parameters on the final quality of the transferred voice

Holub, Jan; Slavata, Oldrich

doi:10.1109/wts.2012.6266108

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…Mitigation strategies such as Packet Loss Concealment (PLC) [22] can be used to smooth the effects of these missing samples. A number of studies have examined the effect of packet loss on speech quality [23], [24], [15], [25], [26]. However, since most are concerned with packet loss in the VoIP network, this is usually simulated by encoding the speech using a lossy VoIP codec and causing packet loss by running the stream through a virtual network.…”

Section: E Choppy Speechmentioning

confidence: 99%

TCD-VoIP, a research database of degraded speech for assessing quality in VoIP applications

Harte

Gillen

Hines³

2015

2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)

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Abstract-There are many types of degradation which can occur in Voice over IP calls. Degradations which occur independently of the codec, hardware, or network in use are the focus of this paper. The development of new quality metrics for modern communication systems depends heavily on the availability of suitable test and development data with subjective quality scores. A new dataset of VoIP degradations (TCD-VoIP) has been created and is presented in this paper. The dataset contains speech samples with a range of common VoIP degradations, and the corresponding set of subjective opinion scores from 24 listeners. The dataset is publicly available.

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Section: E Choppy Speechmentioning

confidence: 99%

TCD-VoIP, a research database of degraded speech for assessing quality in VoIP applications

Harte

Gillen

Hines³

2015

2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)

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“…The difference between forecast and corresponding actual value in RMSE are each squared and then averaged over the sample the square root average is taken. The method of MAPE and RMSE calculation can be derived as shown in (11) and ( 12…”

Section: Evaluation and Resultsmentioning

confidence: 99%

“…According to the variance result, the function of Il was described by the 3 rd order polynomial function. Equation (11) shows the general form of the 3 rd order polynomial function…”

Section: B Language Impairment Parametermentioning

confidence: 99%

E-Model Modification for Multi-Languages over IP

Triyason

Kanthamanon

2015

ElAEE

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It is well known that non-intrusive speech quality assessment methods are appropriate for real time monitoring of VoIP traffic. However, previous researches has proved that most of the non-intrusive speech quality assessment methods failed to estimate accurate speech quality using different languages. Consequently, intrusive methods are frequently chosen to provide a more accurate measurement, however they cannot be used for real time VoIP traffic monitoring. In this paper, the technique to enhanced simplified version of ITU-T recommendation G.107 E-model with a language impairment parameter was proposed. The method to estimate the function of language impairment by tuning the E-model with an intrusive objective method, PESQ was presented. The results from statistical analysis show that the modified E-model matches well with PESQ scores in eight languages.

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