Isolated Mandarin base-syllable recognition based upon the segmentai probability model
Journal
IEEE Transactions on Speech and Audio Processing
Journal Volume
6
Journal Issue
3
Pages
293-299
Date Issued
1998
Author(s)
Abstract
A segmental probability model (SPM) is proposed for fast and accurate recognition of the highly confusing isolated Mandarin base-syllables by deleting the state transition probabilities of continuous density hidden Markov models (CHMM), abandoning the dynamic programming process, letting the states equally segment the base-syllables deterministically, and using several special approaches to improve the accuracy and speed. This is achieved by considering the special characteristics of the target vocabulary.
SDGs
Type
journal article