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Conference Paper

Sound Quality Assessment of Earphone: A Subjective Assessment Procedure and an Objective Prediction Model

Authors: Chon, Sang Bae; Sung, Koeng-Mo

AES Conference: 38th International Conference: Sound Quality Evaluation · Paper 8-4 · June 2010

Abstract

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.

Details

Published in
AES Conference: 38th International Conference: Sound Quality Evaluation
Paper number
8-4
Publication date
June 6, 2010
Session subject
Sound Quality Evaluation
Affiliation
Seoul National University, Seoul, Korea (See document for exact affiliation information.)
Type
Conference Paper