Bimodal vowel recognition using fuzzy logic networks - naive approach
Stefan Badura, Milan Frátrik, Ondrej Škvarek, Martin Klimo · 2014
We describe an audio visual speech recognition system (AVSR) based on fuzzy logic networks. Our system is able to recognize any time sequences and achieves positive results in the task of vowel recognition. Proposed design relies on new model and methods for training fuzzy logic circuits. We combine a simple combinatorial circuit, trained with genetic programming, with a fuzzy logic memory. Combinatorial structures are combined to a fuzzy logic network. This approach leads to design of a hierarchical, massive and layered structure for dynamic signal recognition. An AVSR system is effectively composed by fusion of such networks for audio and lip-reading parts.