Robust Syllable Segmentation Of Continuous Speech Using Neural Networks

Abstract

We describe a multilayered a neural network structure for continuous speech recognition, based on the isolation and identification of syllables. The first layer is a neural network, trained by unsupervised learning, that detects syllable boundaries and provides a representation of the phonetic content of each syllable. The next layer provides a phonernic… (More)

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Cite this paper

@article{Noetzel1991RobustSS, title={Robust Syllable Segmentation Of Continuous Speech Using Neural Networks}, author={Andrew S. Noetzel}, journal={Electro International, 1991}, year={1991}, pages={580-585} }