Abstract
Early results of analyzing natural speech using a parallel processor were reported before this society in Minneapolis in the fall of 1984. This paper is a presentation of subsquent results obtained. The CYTO‐HSS™ parallel pipelined processor, used for analyzing speech spectrograms, is a work station for image analysis, optimized for cellular automata algorithms. The HSS has several advantages over typical Von Neumann type machines. One advantage is speed. In performing similar image processing tasks, the CYTO‐HSS™ is from 100 to 10 000 times faster than the VAX. The distinctive features of speech are described in mathematical morphological terms and the parallel processor detects the presence of the features. Examples of stop and fricative detection will be described and shown. Potential applications in speech analysis, automatic speech recognition, speech synthesis, bandwidth compression, and speech enhancement are discussed.
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