Evaluation of Speech Quality Based on QoS Key Performance Index (KPI): A Survey
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Date
2017-05-06
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Federal University of Technology Minna
Abstract
The utmost contest between cellular operators have left the customers highly selective with the quality of speech based on the quality of service (QoS) experienced. In order to quantitatively and qualify the network performance based on speech quality, different key performance indicators (KPI) used, are classified to aid data collection methods that are used to reduce impairment as its affect speech are discussed and classified according to their operational mode. It provides a detailed report about the perceptuality of speech quality and its statistical expectation of the network. Each of these techniques has its advantages and disadvantages as applied to underscore the network performance from a user’s point of view. These techniques evaluate degradation caused by various impairments in cellular networks. Its I s our hope that, if user get hold of these applications, it will go a long way to keep cellular operators on their toes
Description
This paper explores the critical role of speech quality in determining customer satisfaction in increasingly competitive cellular networks, emphasizing the importance of Quality of Service (QoS) in user perception. It classifies various key performance indicators (KPIs) used to assess network performance and outlines data collection methods aimed at reducing impairments that affect speech quality. The study provides a comprehensive analysis of how different techniques evaluate speech degradation, presenting their operational modes, advantages, and disadvantages. By offering a statistical and perceptual evaluation of network speech quality from the user’s perspective, the paper highlights the potential for these techniques to empower users and drive cellular operators to maintain high-quality service standards.
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Gbadamosi, A. S., & Maliki, D. (2017). Evaluation of Speech Quality Based on QoS Key Performance Index (KPI): A Survey. Proceedings of the 2nd International Engineering Conference, (IEC 2017), Federal University of Technology Minna, Nigeria. Pp 413-420.