Output details
11 - Computer Science and Informatics
London Metropolitan University
Chapter title
Audio-visual fuzzy fusion for robust
speech recognition
Type
C - Chapter in book
DOI
-
Publisher of book
IEEE
Book title
Proceedings of International Joint Conference on Neural Networks, Dallas, Texas, USA, August 4-9, 2013
ISBN of book
978-1-4673-6128-6
Year of publication
2013
Number of additional authors
2
Additional information
<24> This research undertakes one of the hottest topics in speech signal processing, particularly when applied within a noisy environment. It proposes a fuzzy logic-based data fusion method that combines the capabilities of two working schemes, namely the automatic speech recognition system and the automatic visual recognition system. This approach provides a powerful method that enables simpler data fusion at decision level, rather than the more complex at data and features level. The findings helped to establish a framework for the development of bimodal speech recognition and speaker’s identification system using a fuzzy logic fusion methodology.
Interdisciplinary
-
Cross-referral requested
-
Research group
6 - Intelligence Systems Research Centre
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
