This paper proposes a framework for predicting overall speech quality using a multi-dimensional analysis of individual distortions. The algorithm makes use of a physiologically motivated hydro-mechanical Cochlear Model to convert the speech signal into a domain that is more representative of what is perceived. Salient features are extracted and compared between the original and degraded representations to analyze the detectability of individual distortions. These are subsequently combined to predict overall quality.

Authors: Lu, Wenliang; Sen, D.
Affiliation: University of New South Wales, Sydney, NSW, Australia
AES Conference: 38th International Conference: Sound Quality Evaluation (June 2010)
Paper Number: 1-4
Publication Date: June 13, 2010 Import into BibTeX
Subject: Sound Quality Evaluation
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15463

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