Objective Intelligibility Prediction of Speech by Combining Correlation and Distortion based Techniques

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Title Objective Intelligibility Prediction of Speech by Combining Correlation and Distortion based Techniques
Author Gomez, Angel; Schwerin, Belinda Marie; Paliwal, Kuldip Kumar
Publication Title 12thAnnual Conference of the International Speech Communication Association
Editor Piero Cosi, Renato De Mori, Roberto Pieraccini, Giuseppe Di Fabbrizio
Year Published 2011
Place of publication Italy
Abstract A number of techniques based on correlation measurements have recently been proposed to provide an objective measure of intelligibility. These techniques are able to detect nonlinear distortions and provide intelligibility scores highly correlated with those given by human listeners. However, the performance of these techniques has not been found satisfactory for measuring the speech intelligibility of speech enhancement algorithms. In this paper we first investigate the different correlation-based methods, in the context of speech enhancement. We then propose to combine these correlation-based techniques with spectral distance based ones. Results presented show that objective intelligibility prediction is significantly improved by this combination.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.interspeech2011.org/conference/welcomemessage.html
Copyright Statement Copyright 2011 ISCA and the Authors. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the authors.
Conference name INTERSPEECH 2011
Location Florence, Italy
Date From 2011-08-27
Date To 2011-08-31
URI http://hdl.handle.net/10072/46191
Date Accessioned 2012-05-30
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Artificial Intelligence and Image Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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