Accession Number : AD0717600

Title :   Machine Learning through Signature Trees. Applications to Human Speech,

Corporate Author : STANFORD UNIV CALIF DEPT OF COMPUTER SCIENCE

Personal Author(s) : White,George M.

Report Date : OCT 1970

Pagination or Media Count : 41

Abstract : Signature tree machine learning, pattern recognition heuristics are investigated for the specific problem of computer recognition of human speech. When the data base of given utterances is insufficient to establish trends with confidence, a large number of feature extractors must be employed and recognition of an unknown pattern made by comparing its feature values with those of known patterns. When the data base is replete, a signature tree can be constructed and recognition can be achieved by the evaluation of a select few features. Learning results from selecting an optimal minimal set of features to achieve recognition. Properties of signature trees and the heuristics for this type of learning are of primary interest in this exposition. (Author)

Descriptors :   (*LEARNING MACHINES, *SPEECH RECOGNITION), PATTERN RECOGNITION, DECISION MAKING, DATA STORAGE SYSTEMS, ARTIFICIAL INTELLIGENCE

Subject Categories : Computer Hardware
      Voice Communications

Distribution Statement : APPROVED FOR PUBLIC RELEASE