By Renato De Mori (auth.)
It is with nice excitement that I current this 3rd quantity of the sequence "Advanced functions in trend Recognition." It represents the precis of many guy- (and woman-) years of attempt within the box of speech acceptance by means of tne author's former crew on the collage of Turin. It combines the easiest ends up in fuzzy-set conception and synthetic intelligence to indicate the right way to definitive ideas to the speech-recognition challenge. it truly is my wish that it'll turn into a vintage paintings during this box. I take this chance to increase my thank you and appreciation to Sy Marchand, Plenum's Senior Editor answerable for overseeing this sequence, and to Susan Lee and Jo Winton, who had the huge job of getting ready the camera-ready grasp sheets for ebook. Morton Nadler basic Editor vii PREFACE Si parva licet componere magnis Virgil, Georgics, 4,176 (37-30 B.C.) The paintings suggested during this ebook effects from years of study orientated towards the target of creating an experimental version able to realizing spoken sentences of a common language. this can be, after all, a modest test in comparison to the complexity of the services played by means of the human mind. a style is brought for conce1v1ng modules acting perceptual projects and for combining them in a speech knowing system.
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Additional resources for Computer Models of Speech Using Fuzzy Algorithms
White and Neely (1976) have performed an experiment on isolated word recognition, comparing several analysis methods. The experiment showed that recognition based on the output of a filter bank was not poorer than recognition based on the coefficient of an articulatory model. Davis and Mermelstein (1980) have a different opinion. 5 for definition) gives better recognition results on isolated words than the output of a filter bank. The problem of designing the best speech analysis system is still open.
In a model of such behavior, all facets of the listener's knowledge, such as syntax, semantics, pragmatics, phonology, prosody, are used to aid the decoding. Human perception is thus likely to be an active process in which cognition may even guide the lower levels of decoding. None of the components using different types of knowledge can currently be made to perform reliably. A strategy must be found to combine information from all the components in order to profit from the redundancy to resolve the ambiguities.
Furthermore, each element of a concatenation of hypotheses may have been hypothesized with uncertainty. A degree of worthiness is assigned to it for representing such an uncertainty. The evidence of a hypothesis has to be evaluated by taking into account the imprecision of the rule which has been used and the vagueness by which the elements involved in the rule have been detected. This evaluation can be performed within the framework of a fuzzy algebra which deals with possibility values. The situation is sketched in Fig.