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A NEW APPROACH TO THE PROBLEM OF WORD SEGMENTATION

The paper presents the authors latest theoretical and experimental results related to speech short autocorrelation function dynamics. In particular, the dynamics of location and absolute value of short correlation function peak, allocated near the base tone (fundamental frequency), are considered. The analysis of presence of deep minima in peak dynamics and their relations with pitch structure reorganization is presented. The correlation of the results obtained and the problem of isolated word segmentation is been discussed. The paper also contains discussion of available algorithms for the isolated word segmentation problem. With processor speeds hovering around several GHz, substantially cheaper memory and most importantly much more sophisticated software, speech recognition nirvana is almost upon us. It's axiomatic among artificial intelligence researchers that the hard jobs are easy while the easy ones are hard. And recognizing and understanding human speech, something that all of us can do without conscious effort, has turned out to be one of the hardest jobs.