Perceptual analysis of speech quality in mobile communications was carried out by semantic differentiation and external preference mapping, and the developed attributes were mapped to overall quality judgements. A clean speech sample and a speech sample corrupted by car cabin noise from two speakers were processed by different processing chains representing, e.g., transmission of speech over real GSM networks, various standardised speech coders and speech coding with erroneous transmission channels, etc., resulting in a total of 170 samples. The perceptual characteristics of the test samples were described by 18 screened and trained subjects. The final descriptive language with 21 attributes and their rating scales were developed in panel discussions. The scaled attributes were mapped to overall quality evaluations collected from 30 screened and trained subjects by partial least-squares regression (PLSR).
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