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Ideal Point Modelling of Speech Quality in Mobile Communications Based on Multidimensional Scaling (MDS)
Multidimensional scaling and preference mapping were used for the perceptual analysis of speech quality in mobile communications. 41 processing chains, representing, e.g., transmission of speech over mobile networks, were studied. 30 screened subjects were used in the quality test and 15 screened and trained subjects in the MDS test. Based on an external profiling of the auditory characteristics, the dimensions appeared to relate to the naturalness of speech, limitation of the frequency band, smoothness of speech, a bubbling sound alternating with the signal and noisiness of speech. The Phase I ideal point model was used to predict the quality with an average error of about 6 %, to study the interaction between the attributes and the linearity of the attributes.
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