Accession Number : ADP001187
Title : Application of the Liberman-Prince Stress Rules to Computer Synthesized Speech,
Corporate Author : NORTH CAROLINA STATE UNIV RALEIGH DEPT OF COMPUTER SCIENCE
Personal Author(s) : McPeters,David L. ; Tharp,Alan L.
Report Date : 01 FEB 1983
Pagination or Media Count : 6
Abstract : Computer synthesized speech is and will continue to be an important feature of many artificially intelligent systems. Although current computer synthesized speech is intelligible, it cannot yet pass a Turing test. One avenue for improving the intelligibility of computer synthesized speech and for making it more human-like is to incorporate stress patterns on words. But to achieve this improvement, a set of stress prediction rules amenable to computer implementation is needed. This paper evaluates one such theory for predicting stress, that of Liberman and Prince. It first gives an overview of the theory and then discusses modifications which were necessary for computer implementation. It then describes an experiment which was performed to determine the model's strengths and shortcomings. The paper concludes with the results of that study.
Descriptors : *Speech transmission, *Computer applications, *Speech recognition, Symposia, Speech, Intelligibility, Artificial intelligence, Word recognition, Patterns, Theory, Predictions, Computational linguistics, Voice communications, Natural language, Models
Distribution Statement : APPROVED FOR PUBLIC RELEASE