AES E-Library

AES E-Library

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

Document Thumbnail

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.

Authors:
Affiliation:
AES Conference:
Paper Number:
Publication Date:
Subject:
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=15475

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


AES - Audio Engineering Society