Speech Quality Estimation of Voice over Internet Protocol | A Real-World Application of Evolutionary Algorithms. This item is unavailable.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
- Softcover
- New

Unavailable
Softcover
Condition: New
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Item description from seller
Speech Quality Estimation of Voice over Internet Protocol | A Real-World Application of Evolutionary Algorithms | Muhammad Adil Raja (u. a.) | Taschenbuch | 172 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659103025 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Seller Inventory # 106495908
- Title
- Speech Quality Estimation of Voice over Internet Protocol | A Real-World Application of Evolutionary Algorithms
- Author
- Muhammad Adil Raja (u. a.)
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2012
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3659103020
- ISBN 13
- 9783659103025
- Item weight
- 274 grams
- Dimensions
- 220 x 150 x 11 mm
- Seller catalogs
- Bücher
Telecommunications technologies are evolving at a rapid pace. The old Public Switched Telephone Network (PSTN) is being replaced with wireless and voice over IP (VoIP) systems. This requires the service providers to offer their services on competitive prices, on one hand, and to ensure the interoperability of their services over hetero- geneous networks on the other. Added to this is the challenge of keeping up with the expectations of the clientele as regards quality of service (QoS). Thus to enable the successful deployment and functioning of a telecommunications network, it is equally important to estimate the speech quality as it may be perceived by the humans. The goal of this research was to derive superior non-intrusive speech quality esti- mation models. Model superiority was sought in a multi-objective sense: 1) enhance- ment of prediction accuracy of the derived models as compared to the previous ones. 2) model simplicity or parsimony was desired as it may enhance the computational efficiency. In this research this is achieved by employing a novel approach based on Genetic Programming (GP).
"Synopsis" may belong to another edition of this title.
About the Author
Adil Raja received his B.Eng. in metallurgical engineering and materials science in 2000 from the University of Engineering and Technology, Lahore, Pakistan and MS in computer sciences from the Lahore University of Management Sciences (LUMS), Pakistan. He received his PhD degree from the University of Limerick, Ireland.
"About the title" may belong to another edition of this title.