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Toward a comprehensive subjective evaluation of VoIP users’ quality of experience (QoE): a case study on Persian language

Hesam Mohseni, A ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1007/s11042-021-11190-7
  3. Publisher: Springer , 2021
  4. Abstract:
  5. Quality of Experience (QoE) measures the overall quality of a service from users’ point of view by considering several system, human, and contextual factors. There exist various objective and subjective methods for QoE prediction. Although the subjective approach is more expensive and challenging than the objective approach, QoE’s level can be more accurately determined by a subjective test. This paper investigates various features affecting QoE by proposing a comprehensive subjective evaluation. First, we show that many unconsidered factors can significantly affect QoE. We have generated voice samples featuring different values for novel factors related to the speaker, signal, and network. Regarding the speaker, we take into account the accent and gender of Persian-speaking people. We conduct an extensive survey by employing a large number of users. Our comprehensive analysis reveals that the users’ identity has a significant influence on QoE. Our experiments show that many previously studied parameters do not affect QoE in the same way for various users with different genders and accents. Finally, we show that QoE can be accurately predicted using Artificial Neural Network (ANN) and Support Vector Regression (SVR) techniques if the new identity features are taken into account. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
  6. Keywords:
  7. Internet telephony ; Neural networks ; Quality control ; Support vector regression ; Comprehensive analysis ; Contextual factors ; Objective approaches ; Persian languages ; Quality of experience (QoE) ; Subjective evaluations ; Subjective methods ; Support vector regression (SVR) ; Quality of service
  8. Source: Multimedia Tools and Applications ; Volume 80, Issue 21-23 , 2021 , Pages 31783-31802 ; 13807501 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s11042-021-11190-7