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Morphological approaches to the automatic extraction of phonetic features

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2 Author(s)
J. F. Hemdal ; Dept. of Electr. Eng., Toledo Univ., OH, USA ; R. M. Lougheed

An experiment in speech analysis in which a a parallel processor uses morphological algorithms to extract phonetic features from a spectrogram and performs an initial segmentation and labeling is described. Experiments in spectrogram reading by R. A. Cole et al. (1980) have suggested that more information is present in, and furthermore, this information may reside in the spectrogram, i.e., the speech image. The spectrogram readings of V. Zue et al. (1980) are automated by using image processing techniques in an image processor. A very fast and powerful parallel pipeline image processor, the cytocomputer, is used. The cytocomputer contains a serial pipeline of programmable processing stages, where each stage performs a single cellular transformation on the entire image

Published in:

IEEE Transactions on Signal Processing  (Volume:39 ,  Issue: 2 )