Lexical classification in a speech understanding system using fuzzy relations
Renato De Mori, Piero Torasso · 2005
Some methodologles based on fuzzy set theory are proposed for emitting and verifying lexical hypotheses in a Speech Understanding System. Context-independent and context-dependent features are extracted from spectrogram patterns with a procedure that establishes a correspondence relation between a speech segment and its linguistic interpretation. The syllabic hypotheses are used for emitting lexical hypotheses by an algorithm that compensates for partial corruption of the syllabic information exploiting the lexical redundancy.