Accent and discourse context: assigning pitch accent in synthetic speech

Authors:
Julia Hirschberg
Affiliations:
AT&T Bell Laboratories, Murray Hill, NJ
Venue:
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Year:
1990

Citing 9
Cited 1

Attention, intentions, and the structure of discourse

Computational Linguistics
A stochastic parts program and noun phrase parser for unrestricted text

ANLC '88 Proceedings of the second conference on Applied natural language processing
A centering approach to pronouns

ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Providing a unified account of definite noun phrases in discourse

ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Acquiring disambiguation rules from text

ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Evaluating discourse processing algorithms

ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Assigning intonational features in synthesized spoken directions

ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Synthesis of spoken messages from semantic representations: semantic-representation-to-speech system

COLING '86 Proceedings of the 11th coference on Computational linguistics
Disambiguating cue phrases in text and speech

COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2

Affirmative cue words in task-oriented dialogue

Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Identifying the regularities underlying speaker decisions to emphasize or de-emphasize an item intonationally has long been the subject of speculation and controversy. This paper describes a study of accent assignment based upon the analysis of natural recorded (read) speech. Results are being incorporated in NewSpeak, an interface to the Bell Laboratories Text-to-Speech System, which varies intonational features based upon syntactic structure and higher-level discourse information inferred from unrestricted text, in order to generate more natural synthetic speech. Implications of the work for the evaluation of discourse models, for automatic labeling of prosodic features, and for speech synthesis are discussed.