Abstract
Commercially available parallel processors with special cellular computer architecture are able to perform certain nonlinear transformations, viz., the covering transformations much more efficiently than Von Neumann type machines. Additionally, these computers' interactive image processing capabilities often result in discovering insightful ways of approaching old problems. It is natural to inquire whether the inherent advantages of cellular processors would be of benefit in speech analysis. This paper discusses the early results obtained by treating the speech spectrogram as an “image” and analyzing this “image” on a Cytocomputer™. Results include the characterization of the distinctive features of speech in mathematical morphological terms. Examples of morphological transformations of speech spectrograms will be presented which suggest applications in speech analysis, automatic speech recognition, speech synthesis, bandwidth compression, and speech enhancement.
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