A genetic algorithm approach for voice quality prediction

Multimedia applications play an increasingly important role in the world of communication. To be able to present an effective multimedia service, the quality of the multimedia service should be acceptable to the user. As measuring the multimedia and mainly the voice quality is needed while the network is running, therefore an automated, non-intrusive and overall accurate measurement of quality should be provided. The E-Model proposed by the International Telecommunication Union-Telecommunication Standardisation Sector (ITU-T) achieves this, but it needs the expensive subjective tests to calibrate its parameters. A Genetic Algorithm (GA) approach is proposed in this paper to extend the E-model without the need for the subjective tests. The proposed solution is compared against the E-Model to prove similar results are obtained.