Voice Quality Measurement in Telecommunication Networks by Optimized Multisine Signals

The paper deals with the test signal selection to be adopted for the Voice Quality Measurement (VQM) in telecommunication networks. It is proposed to use the optimized multisine as test signal in place of both the natural and the artificial voices, suggested by the ITU-T recommendations. The effectiveness of the optimized multisine to the VQM is investigated by using four algorithms: (i) Perceptual Speech Quality Measurement, (ii) Perceptual Speech Quality Measurement plus, (iii) Perceptual Evaluation of Speech Quality, and (iv) Perceptual Analysis Measurement System. Numerical tests are performed in order to compare the output index of the four algorithms feed by the optimized multisine, the natural and the artificial voice signals. In order to take into account the effects of the actual telecommunication networks, the Modulated Noise Reference Unit is used to corrupt both the multisine and the voices. The tests show the effectiveness of the proposed approach, based on the use of the optimized multisine, respect to the traditional procedures.