Contrastive accent in a data-to-speech system

M. Theune

doi:10.3115/976909.979688

Contrastive accent in a data-to-speech system

M. Theune

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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Being able to predict the placement of contrastive accent is essential for the assignment of correct accentuation patterns in spoken language generation. I discuss two approaches to the generation of contrastive accent and propose and alternative method that is feasible and computationally attractive in data-to-speech systems.

Originele taal-2	Engels
Titel	Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Conference of the European Chapter of the ACL, Madrid, Spain, July 7-12
Plaats van productie	Stroudsburg
Uitgeverij	Association for Computational Linguistics (ACL)
Pagina's	519-521
DOI's	https://doi.org/10.3115/976909.979688
Status	Gepubliceerd - 1997

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10.3115/976909.979688

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@inproceedings{12619905cbd64f2895004591f2156e3a,

title = "Contrastive accent in a data-to-speech system",

abstract = "Being able to predict the placement of contrastive accent is essential for the assignment of correct accentuation patterns in spoken language generation. I discuss two approaches to the generation of contrastive accent and propose and alternative method that is feasible and computationally attractive in data-to-speech systems.",

author = "M. Theune",

year = "1997",

doi = "10.3115/976909.979688",

language = "English",

pages = "519--521",

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Contrastive accent in a data-to-speech system. / Theune, M.
Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Conference of the European Chapter of the ACL, Madrid, Spain, July 7-12. Stroudsburg: Association for Computational Linguistics (ACL), 1997. blz. 519-521.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - Being able to predict the placement of contrastive accent is essential for the assignment of correct accentuation patterns in spoken language generation. I discuss two approaches to the generation of contrastive accent and propose and alternative method that is feasible and computationally attractive in data-to-speech systems.

U2 - 10.3115/976909.979688

DO - 10.3115/976909.979688

M3 - Conference contribution

SP - 519

EP - 521

BT - Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Conference of the European Chapter of the ACL, Madrid, Spain, July 7-12

PB - Association for Computational Linguistics (ACL)

CY - Stroudsburg

ER -

Contrastive accent in a data-to-speech system

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