Parsing for prosody: what a text-to-speech system needs from syntax.

Eileen Fitzpatrick, J. Bachenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish
Title of host publicationProc Annu AI Syst Gov Conf
EditorsJames H. Antonisse, John W. Benoit, Barry G. Silverman
Pages188-194
Number of pages7
Publication statusPublished - 1 Dec 1989
EventProceedings of the Annual AI Systems in Government Conference - Washington, DC, USA
Duration: 27 Mar 198931 Mar 1989

Other

OtherProceedings of the Annual AI Systems in Government Conference
CityWashington, DC, USA
Period27/03/8931/03/89

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Fitzpatrick, E., & Bachenko, J. (1989). Parsing for prosody: what a text-to-speech system needs from syntax. In J. H. Antonisse, J. W. Benoit, & B. G. Silverman (Eds.), Proc Annu AI Syst Gov Conf (pp. 188-194)