Multilayer Perceptron Training without Word Segmentation for Phoneme Recognition

摘要

Applying a multilayer perceptron to phoneme recognition was explored. The method of perceptron training without segmentation of speech signals from training set was proposed. The application of new method allowed us to significantly improve quality of phoneme classifier output signal.