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 language | English |
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Title of host publication | 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC) |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5090-2007-2 |
DOIs | |
Publication status | Published - 24 Oct 2016 |
Event | 2016 IEEE International Workshop on Acoustic Signal Enhancement: IWAENC - Xi'an, China Duration: 13 Sept 2016 → 16 Sept 2016 http://www.iwaenc2016.org/ |
Conference
Conference | 2016 IEEE International Workshop on Acoustic Signal Enhancement |
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Country/Territory | China |
City | Xi'an |
Period | 13/09/16 → 16/09/16 |
Internet address |
Bibliographical note
(Best student paper award)Keywords
- mutual information
- Intelligibility