Abstract
Special purpose parallel pipelined image processors are not only faster for images than general purpose computers but also allow one to investigate the applications of the latest image processing algorithms and techniques to continuous speech. This is particularly valuable when trying to automate the spectrogram reading capabilities of Victor Zue [Proc. IEEE 73, 1602–1615 (1985)]. Several sentences of continuous speech were sampled and converted to images using the FFT. These images were analyzed on a parallel cellular image processor called the Cytocomputer™. Suitable structuring elements were selected to smooth the inherently bumpy FFT spectra and to remove noise. Several of the distinctive features of speech are described in mathematical morphology terms and these features were tracked. Specifically, stop consonants, fricatives, vowels, and nasals were located and labeled. Examples of intermediate image transformations and resultant labeling were recorded by photographic process. [Work supported by Ohi...
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