Acoustic-phonetic segment classification and scale-space filtering

Scale-space filtering represents one method for automatically extracting both coarse and fine-grained units from the speech signal. We examine the acoustic-phonetic structure of segments obtained by scale-space filtering of cochleagrams, and report on the correspondences between scale-space segments which are automatically derived and hand-marked acoustic-phonetic segments. The major advantage of this proposal for segmentation is the flexibility of the data structure.