Employing the neural networks to parametrically assess the quality of a voice call

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86097969" target="_blank" >RIV/61989100:27240/16:86097969 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/16:PU125256

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7570521" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7570521</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SPECTS.2016.7570521" target="_blank" >10.1109/SPECTS.2016.7570521</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Employing the neural networks to parametrically assess the quality of a voice call

Popis výsledku v původním jazyce

The paper deals with the modelling of the network effects on the quality of speech in the Voice over IP networks. The main purpose of the ideas presented here is to achieve highprecision estimation of the speech quality in the environment in which the classical approaches of speech quality determination fail. To achieve such a 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 (Perceptual Evaluation of the Speech Quality) reference. To incorporate the temporal effects, the Emodel 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. (C) 2016 The Society for Modeling and Simulation International.

Název v anglickém jazyce

Employing the neural networks to parametrically assess the quality of a voice call

Popis výsledku anglicky

The paper deals with the modelling of the network effects on the quality of speech in the Voice over IP networks. The main purpose of the ideas presented here is to achieve highprecision estimation of the speech quality in the environment in which the classical approaches of speech quality determination fail. To achieve such a 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 (Perceptual Evaluation of the Speech Quality) reference. To incorporate the temporal effects, the Emodel 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. (C) 2016 The Society for Modeling and Simulation International.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

2016 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS) : proceedings papers

ISBN

978-1-5108-2423-2

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Danvers

Místo konání akce

Montreal

Datum konání akce

24. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000386571900016