VoIP Call Quality Assessment based on RPROP Neural Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F16%3A10130738" target="_blank" >RIV/63839172:_____/16:10130738 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/BIHTEL.2016.7775738" target="_blank" >http://dx.doi.org/10.1109/BIHTEL.2016.7775738</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/BIHTEL.2016.7775738" target="_blank" >10.1109/BIHTEL.2016.7775738</a>

Jazyk výsledku

angličtina

Název v původním jazyce

VoIP Call Quality Assessment based on RPROP Neural Networks

Popis výsledku v původním jazyce

The modelling of the network effects on the quality of speech in the Voice over IP networks is the main focus of this paper. The main purpose of the ideas presented here is to achieve high-precision estimation of the speech quality in the environments where the classical approaches of speech quality determination fail. To achieve this high precision a modular neural network model is used to map the effects of a packet loss on the speech quality based on the PESQ reference. To incorporate the temporal effects E-model is partially utilized as well. This way a universal tool capable of harnessing the information about the speech quality for stress testing and monitoring of the local infrastructure has been developed enabling the telephony infrastructure administrators to evaluate the performance and stability of the systems in their hands. Moreover, a high-performance simulation environment has been developed as well to ensure sufficient amount of measurement data for the statistical analysis.

Název v anglickém jazyce

VoIP Call Quality Assessment based on RPROP Neural Networks

Popis výsledku anglicky

The modelling of the network effects on the quality of speech in the Voice over IP networks is the main focus of this paper. The main purpose of the ideas presented here is to achieve high-precision estimation of the speech quality in the environments where the classical approaches of speech quality determination fail. To achieve this high precision a modular neural network model is used to map the effects of a packet loss on the speech quality based on the PESQ reference. To incorporate the temporal effects E-model is partially utilized as well. This way a universal tool capable of harnessing the information about the speech quality for stress testing and monitoring of the local infrastructure has been developed enabling the telephony infrastructure administrators to evaluate the performance and stability of the systems in their hands. Moreover, a high-performance simulation environment has been developed as well to ensure sufficient amount of measurement data for the statistical analysis.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LM2010005" target="_blank" >LM2010005: Velká infrastruktura CESNET</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2016 XI International Symposium on Telecommunications (BIHTEL)

ISBN

978-1-5090-2902-0

ISSN

—

e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

Místo vydání

Neuveden

Místo konání akce

Sarajevo, Bosnia and Herzegovina

Datum konání akce

24. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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