Self Activation Recognition System

Self-corrective character recognition system

Abstracf-The output of a simple statistical categorizer is used to improve recognit ion performance on a homogeneous data set. An array I$ initial weights contains a coarse description of the various classes; as the system cycles through a set of characters from the same source (a typewritten or printed page), the weights are modif ied to correspond more closely with the observed distributions....

A self-supervised vowel recognition system

Self-incompatibility: a self-recognition system in plants.

Self-incompatibility (SI), a genetically controlled mechanism to prevent inbreeding in plants, offers a relatively simple model system for studying the interactions between plant cells or between a plant cell and the secreted product or products of another cell. Examples of two major types of SI, gametophytic and sporophytic, have been studied by cloning cDNAs corresponding to glycoproteins of ...

Building a vocabulary self-learning speech recognition system

This paper presents initial studies on building a vocabulary selflearning speech recognition system that can automatically learn unknown words and expand its recognition vocabulary. Our recognizer can detect and recover out-of-vocabulary (OOV) words in speech, then incorporate OOV words into its lexicon and language model (LM). As a result, these unknown words can be correctly recognized when e...

On the convergence of "A self-supervised vowel recognition system"

AbslraclA self-supervised learning algorithm based on the concept of guard zoncs was developed by Pal et al'l) for studying the adaptive abilHY of a recognition system, starting with non-appropriate representative vectors. Guard zones were used 10 discard unreliable (dou btful) samples from the parameter-updatiug programme, so that the convergenee does not get affccted. The algorithm was implem...