Abstract
Descriptive analysis of processed speech quality was carried out by semantic differentiation and external preference mapping was used to relate the attributes 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, for example, transmissions over real GSM networks and erroneous transmission channels, various standardized speech coders, etc. resulting in a total of 170 samples. The perceptual characteristics of the test samples were described by 18 screened subjects and 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 subjects by partial least squares regression (PLSR).
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
