DocumentCode
734328
Title
Automatic Learning for Supporting Advanced Human-Machine Interfaces
Author
Cuzzocrea, Alfredo ; Mumolo, Enzo ; Grasso, Giorgio Mario
Author_Institution
ICAR, Univ. of Calabria, Cosenza, Italy
fYear
2015
fDate
8-10 July 2015
Firstpage
12
Lastpage
18
Abstract
This paper provides a novel algorithm for supporting automatic learning oriented to advanced human-machine interfaces. The algorithm introduces several points of innovativeness, based on complex similarity metrics involving several features of the whole learning process. A comprehensive experimental assessment and analysis of the proposed algorithm on both synthetic and real-life data sets confirms the benefits deriving from our proposal.
Keywords
fuzzy set theory; genetic algorithms; human computer interaction; learning (artificial intelligence); speech recognition; speech synthesis; user interfaces; automatic learning; fuzzy rule; genetic algorithm; human-machine interface; similarity metrics; speech recognition; speech synthesis; Face; Genetics; Knowledge based systems; Magnetic heads; Speech; Speech recognition; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
Conference_Location
Blumenau
Print_ISBN
978-1-4799-8869-3
Type
conf
DOI
10.1109/CISIS.2015.7
Filename
7185159
Link To Document