Segmentation and broad classification of continuous speech

Describes an algorithm that performs speaker-independent segmentation and broad classification of continuous speech. The algorithm is implemented as a set of knowledge sources that apply rules to speech parameters to locate segment boundaries and assign broad category labels to the resulting segments. The output of the algorithm is a network of segments with broad category labels. The structure of the algorithm, the manner in which acoustic phonetic knowledge is applied, and the performance of the algorithm on 200 utterances produced by 50 speakers is described.<<ETX>>