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.

Lexical classification in a speech understanding system using fuzzy relations

TORASSO, Pietro
1976

Abstract

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.
IEEE International Conference on Acoustics, Speech, and Signal Processing
Philadelphia (USA)
April 12-14, 1976
Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing
IEEE
565
568
http://http://ieeexplore.ieee.org/
Renato De Mori; Pietro Torasso
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/108037
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