An intelligibility metric based on a simple model of speech communication

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Abstract

Instrumental measures of speech intelligibility typically produce an index between 0 and 1 that is monotonically related to listening test scores. As such, these measures are dimensionless and do not represent physical quantities. In this paper, we propose a new instrumental intelligibility metric that describes speech intelligibility using bits per second. The proposed metric builds upon an existing intelligibility metric that was motivated by information theory. Our main contribution is that we use a statistical model of speech communication that accounts for noise inherent in the speech production process. Experiments show that the proposed metric performs at least as well as existing state-of-the-art intelligibility metrics.
Original languageEnglish
Title of host publication2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)978-1-5090-2007-2
DOIs
Publication statusPublished - 24 Oct 2016
Event2016 IEEE International Workshop on Acoustic Signal Enhancement: IWAENC - Xi'an, China
Duration: 13 Sep 201616 Sep 2016
http://www.iwaenc2016.org/

Conference

Conference2016 IEEE International Workshop on Acoustic Signal Enhancement
Country/TerritoryChina
CityXi'an
Period13/09/1616/09/16
Internet address

Bibliographical note

(Best student paper award)

Keywords

  • mutual information
  • Intelligibility

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