Automatic Speech Segmentation using Neural Network and Phonetic Transcription

Authors:

Finster, H.

Book Title:

Proceedings of International Joint Conference on Neural Networks

Pages:

p.p. 734-736

Address:

Baltimore, USA

Date:

1992

Language:

English

Abstract

A new algorithm for automatic segmentation of speech based on its phonetic transcription is proposed. The specific features of this algorithm are a new iterative self-learning procedure to find the temporal alignment between feature vectors and phonetic transcription; no preassumptions about statistical speech properties or phonetical rules; and no required pretraining. The general structure of the segmentation system is shown. The core of the segmentation procedure is an iterative loop consisting of a neural phoneme classifier, a time-alignment algorithm and the retraining of the neural classifier. The segmentation of the sentence `nine two seven eight nine ten' is given.

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