Quality estimation of synthesized speech transmitted over IP channel using genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Mrvova:2013:DT,

• author = "Miroslava Mrvova and Peter Pocta",
• booktitle = "International Conference on Digital Technologies, DT 2013",
• title = "Quality estimation of synthesized speech transmitted over IP channel using genetic programming approach",
• year = "2013",
• month = may,
• pages = "39--43",
• keywords = "genetic algorithms, genetic programming, IP networks, Internet telephony, learning (artificial intelligence), speech synthesis, voice communication, GP approach, IP channel, VoIP environment, evolutionary algorithm, generalisation ability, genetic programming approach, good accuracy, machine learning techniques, parametric speech quality estimation model, quality-affecting parameters, synthesised speech, telecommunication services, Databases, Estimation, Mathematical model, Sociology, Speech, Speech coding, packet loss, speech codec, speech quality estimation, synthesised speech",
• DOI = "doi:10.1109/DT.2013.6566282",
• abstract = "In this article, an evolutionary algorithm known as Genetic Programming (GP) was used to design a parametric speech quality estimation model. Nowadays, GP is one of the machine learning techniques employed in a quality estimation process. In principle, the set of quality-affecting parameters was used as an input to the designed estimation model based on GP approach in order to estimate a quality of synthesised speech transmitted over IP channel (VoIP environment). The performance results obtained by the designed estimation model have confirmed the good properties of genetic programming, namely good accuracy and generalisation ability; this makes it to be perspective approach to a quality estimation of this type of speech in the corresponding environment. The developed model can be helpful for network operators and service providers implementing it in planning phase or early-development stage of telecommunication services based on synthesised speech.",
• notes = "Also known as \cite{6566282}",

}

Genetic Programming entries for Miroslava Mrvova Peter Pocta

Citations