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Research on objective speech quality measurements

Author(s)
Chow, Carol S., 1978-
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Vishu R. Viswanathan and Thomas F. Quatieri.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
This is a thesis dissertation on objective speech quality measures. Two objective measures, Enhanced Modified Bark Spectral Distortion (EMBSD) and Perceptual Evaluation of Speech Quality (PESQ) were included in this study. The scope of the study covers the evaluation of EMBSD and PESQ in predicting subjective results from Mean Opinion Score (MOS) tests; an extension of PESQ to handle wideband speech; and the performance of EMBSD and PESQ on Degradation Mean Opinion Score (DMOS) tests in noise conditions. The following results are reported: (1) EMBSD can predict the quality of various conditions for a given coder, but not across coders. (2) PESQ can predict the quality of various conditions for a given coder as well as across coders. (3) While PESQ is effective in handling time shifts that occur during silence, it does not seem as effective when such shifts occur during speech. (4) A simple extension of PESQ can evaluate wideband speech as well as it evaluates narrowband speech. (5) When clean speech is used as reference, EMBSD predicts DMOS better than when noisy speech is used as reference. (6) PESQ predicts DMOS better when using noisy speech than with using clean speech as reference.
Description
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
 
Includes bibliographical references (p. 67-68).
 
Date issued
2001
URI
http://hdl.handle.net/1721.1/8937
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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