VoIP-quality of experience modeling: E-model and simplified E-model enhancement using bias factor

Wuttidittachotti, Pongpisit; Daengsi, Therdpong

doi:10.1007/s11042-016-3389-z

Cited by 12 publications

(9 citation statements)

References 31 publications

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“…It is consistent with the evidence as shown in [14] about the comparative results between the ratio of fundamental frequency (F0) and its standard deviation (SD) of Thai speech sounds and the ratios from English sounds.…”

Section: B Motivation Of Worksupporting

confidence: 92%

“…It is different from western languages, especially, there are 5 tones, consisting of low-tone, mid-tone, high-tone, rising tone and falling tone [12]. It has been mentioned in [13][14] and proven that native Thai users have better perception to Thai speech than non-Thai native speakers (e.g. Chinese and British) because the left frontal operculum of a Thai brain is activated when listening to Thai speech sounds, which is their mother language, whereas the non-Thai native brain is not activated during the same scenario tests.…”

Section: B Motivation Of Workmentioning

confidence: 97%

“…MOS value, which is a five-point scale, can be converted from the R-value utilizing (2); (Notes: MOS is 4.5 if R is greater than 100, whereas it is 1 if R is less than 0). However, the R-value can be converted from MOS value using (3) [9][10][11]14].…”

Section: E Objective Quality Assessment: Simplified E-modelmentioning

confidence: 99%

“…jitter impairment factors) to add into the E-model, while a few of them proposed solutions to improve the simplified E-model. Particularly, it has been shown in [14] that the enhanced simplified E-model for G.711 can provide error reduction of about 46.8 % when compared to the generic simplified one.…”

Section: Related Research Workmentioning

confidence: 99%

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QoE Modeling for Voice over IP: Simplified E-model Enhancement Utilizing the Subjective MOS Prediction Model: A Case of G.729 and Thai Users

Daengsi

Wuttidittachotti

2019

J Netw Syst Manage

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This research proposes an enhanced measurement method for VoIP quality assessment which provides an improvement to accuracy and reliability. To improve the objective measurement tool called the simplified E-model for the selected codec, G.729, it has been enhanced by utilizing a subjective MOS prediction model based on native Thai users, who use the Thai-tonal language. Then, the different results from the simplified E-model and subjective MOS prediction model were used to create the Bias function, before adding to the simplified E-model. Finally, it has been found that the outputs from the enhanced simplified E-model for the G.729 codec shows better accuracy when compared to the original simplified E-model, specially, after the enhanced model has been evaluated with 4 test sets. The major contribution of this enhancement is that errors are reduced by 58.87 % when compared to the generic simplified E-model. That means the enhanced simplified E-model as proposed in this study can provide improvement beyond the original simplified one significantly.

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Section: B Motivation Of Worksupporting

confidence: 92%

Section: B Motivation Of Workmentioning

confidence: 97%

Section: E Objective Quality Assessment: Simplified E-modelmentioning

confidence: 99%

Section: Related Research Workmentioning

confidence: 99%

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QoE Modeling for Voice over IP: Simplified E-model Enhancement Utilizing the Subjective MOS Prediction Model: A Case of G.729 and Thai Users

Daengsi

Wuttidittachotti

2019

J Netw Syst Manage

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“…This QoE approach is called a subjective method. Then the objective measurement methods have been developed based on mathematical models (e.g., Simplified E-model and Emodel) [20]. From the brief survey in this study, many QoE models associated with QoS parameters were proposed [3][4].…”

Section: E Related Workmentioning

confidence: 99%

QoE Modeling Associated with QoS Impairment Parameters in 5G Networks Using AHP Decision Making Technique

Daengsi

Sirawongphatsara

Pornpongtechavanich

2021

2021 International Conference on Decision Aid Sciences and Application (DASA)

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This paper aims to propose the Quality of Experience (QoE) models based on the expectation and/or the perception of 5G users to evaluate for Mean Opinion Score (MOS) for real-time or interactive services/applications with high reliability. Therefore, based on the fundamental QoE concept, the Analytic Hierarchy Process (AHP) decision making technique has been applied. Seven participants or evaluators were recruited for the interview remotely via phone calls. From the analysis using AHP technique, the coefficients or weights for the impairment parameters, consisting of loss, delay and jitter were obtained. Also, the weights of the focused parameters reveal that according to the participants' opinions, loss can generate a worse quality issue when compared with delay and jitter.

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MOS estimation model development using ACR listening-opinion tests with Thai users referring to loss effects: a case of G.726 and G.729

Wuttidittachotti

Khaoduang

Daengsi³

2017

Multimedia Systems

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VoIP-quality of experience modeling: E-model and simplified E-model enhancement using bias factor

Cited by 12 publications

References 31 publications

QoE Modeling for Voice over IP: Simplified E-model Enhancement Utilizing the Subjective MOS Prediction Model: A Case of G.729 and Thai Users

QoE Modeling for Voice over IP: Simplified E-model Enhancement Utilizing the Subjective MOS Prediction Model: A Case of G.729 and Thai Users

QoE Modeling Associated with QoS Impairment Parameters in 5G Networks Using AHP Decision Making Technique

MOS estimation model development using ACR listening-opinion tests with Thai users referring to loss effects: a case of G.726 and G.729

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