An objective measure for predicting subjective quality of speech coders

Author

Wang, Shihua ; Sekey, Andrew ; Gersho, Allen

Author_Institution

Teknekron Commun. Syst., Berkeley, CA, USA

Volume

10

Issue

5

fYear

1992

fDate

6/1/1992 12:00:00 AM

Firstpage

819

Lastpage

829

Abstract

A perceptually motivated objective measure for evaluating speech quality is presented. The measure, computed from the original and coded versions of an utterance, exhibits statistically a monotonic relationship with the mean opinion score, a widely used criterion for speech coder assessment. For each 10-ms segment of an utterance, a weighted spectral vector is computed via 15 critical band filters for telephone bandwidth speech. The overall distortion, called Bark spectral distortion (BSD), is the average squared Euclidean distance between spectral vectors of the original and coded utterances. The BSD takes into account auditory frequency warping, critical band integration, amplitude sensitivity variations with frequency, and subjective loudness

Keywords

codecs; encoding; speech analysis and processing; speech intelligibility; Bark spectral distortion; amplitude sensitivity variations; auditory frequency warping; average squared Euclidean distance; coded utterances; critical band filters; critical band integration; frequency; mean opinion score; objective measure; speech coders; speech quality; subjective loudness; subjective quality; telephone bandwidth speech; weighted spectral vector; Acoustic distortion; Distortion measurement; Filters; Signal processing algorithms; Signal to noise ratio; Speech analysis; Speech coding; Speech enhancement; Telephony; Testing;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/49.138987

Filename

138987