Document Type
Conference Proceeding
Publication Date
12-1-1989
Abstract
The authors describe an experimental text-to-speech system that uses a syntactic parser and prosody rules to determine prosodic phrasing for synthesized speech. It is shown that many aspects of sentence analysis that are required for other parsing applications, e.g., machine translation and question answering, become unnecessary in parsing for text-to-speech. It is possible to generate natural-sounding prosodic phrasing by relying on information about syntactic category type, partial constituency, and length; information about clausal and verb phrase constituency, predicate-argument relations, and prepositional phrase attachment can be bypassed.
DOI
10.1109/AISIG.1989.47324
MSU Digital Commons Citation
Fitzpatrick, Eileen and Bachenko, Joan, "Parsing for prosody: What a text-to-speech system needs from syntax" (1989). Department of Linguistics Faculty Scholarship and Creative Works. 21.
https://digitalcommons.montclair.edu/linguistics-facpubs/21
Published Citation
Fitzpatrick, E., & Bachenko, J. (1989, January). Parsing for prosody: what a text-to-speech system needs from syntax. In 1989 The Annual AI Systems in Government Conference (pp. 188-189). IEEE Computer Society.