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
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;
Conference_Titel :
Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
Conference_Location :
Blumenau
Print_ISBN :
978-1-4799-8869-3
DOI :
10.1109/CISIS.2015.7
