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Construction of Non-Linear Feneme-Based Markov Word Baseforms From Multiple Word Utterances

IP.com Disclosure Number: IPCOM000036445D
Original Publication Date: 1989-Sep-01
Included in the Prior Art Database: 2005-Jan-29

Publishing Venue

IBM

Related People

Authors:
Bahl, LR de Souza, PV Picheny, MA Mercer, RL [+details]

Abstract

In a speech recognition system wherein words, when uttered, result in a string of generated labels or symbols (hereafter referred to as "fenemes"), each generated feneme being selected from an alphabet of fenemes, and wherein each word in a vocabulary is represented by a baseform constructed of Markov models, the present invention relates to methodology for converting a linear fenemic baseform in which each feneme in a string is replaced by a corresponding Markov phone model into a non-linear baseform in which segments of a word baseform may be characterized by Markov phone models in parallel.