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This paper describes a subjective assessment procedure and an objective prediction model for sound quality assessment of earphones. The proposed subjective assessment procedure is designed to provide an instantaneous switching from one stimulus to another or reference stimulus. Based on the result from subjective assessment, an objective prediction model was designed using Average Distorted Block (ADBB) [1]. Eight earphones were assessed by the proposed subjective assessment procedure. The perceived Mean Opinion Score (MOSs) were used in the regression process in ADBB. The result shows that the proposed objective prediction model achieves an outstanding performance with a cross correlation of 0.9 and root mean square error of 7.57 in a 100 point scale.
Author (s): Chon, Sang Bae; Sung, Koeng-Mo
Affiliation:
Seoul National University, Seoul, Korea
(See document for exact affiliation information.)
Publication Date:
2010-06-06
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Session subject:
Sound Quality Evaluation
Permalink: https://aes2.org/publications/elibrary-page/?id=15475
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Chon, Sang Bae; Sung, Koeng-Mo; 2010; Sound Quality Assessment of Earphone: A Subjective Assessment Procedure and an Objective Prediction Model [PDF]; Seoul National University, Seoul, Korea; Paper 8-4; Available from: https://aes2.org/publications/elibrary-page/?id=15475
Chon, Sang Bae; Sung, Koeng-Mo; Sound Quality Assessment of Earphone: A Subjective Assessment Procedure and an Objective Prediction Model [PDF]; Seoul National University, Seoul, Korea; Paper 8-4; 2010 Available: https://aes2.org/publications/elibrary-page/?id=15475