S.: Multisyn voices from ARCTIC data for the Blizzard challenge

This paper describes the process of building unit selection voices for the Festival multisyn engine using four ARCTIC datasets, as part of the Blizzard evaluation challenge. The build procedure is almost entirely automatic, with very little need for human intervention. We discuss the difference in t...

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Main Authors: Robert Clark, Korin Richmond, Simon King
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.8594
http://www.festvox.org/blizzard/bc2005/IS051943.PDF
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.214.8594 2023-05-15T14:34:32+02:00 S.: Multisyn voices from ARCTIC data for the Blizzard challenge Robert Clark Korin Richmond Simon King The Pennsylvania State University CiteSeerX Archives http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.8594 http://www.festvox.org/blizzard/bc2005/IS051943.PDF en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.8594 http://www.festvox.org/blizzard/bc2005/IS051943.PDF Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.festvox.org/blizzard/bc2005/IS051943.PDF text ftciteseerx 2016-01-07T17:59:55Z This paper describes the process of building unit selection voices for the Festival multisyn engine using four ARCTIC datasets, as part of the Blizzard evaluation challenge. The build procedure is almost entirely automatic, with very little need for human intervention. We discuss the difference in the evaluation results for each voice and evaluate the suitability of the ARCTIC datasets for building this type of voice. 1. Text Arctic Unknown Arctic
institution Open Polar
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language English
description This paper describes the process of building unit selection voices for the Festival multisyn engine using four ARCTIC datasets, as part of the Blizzard evaluation challenge. The build procedure is almost entirely automatic, with very little need for human intervention. We discuss the difference in the evaluation results for each voice and evaluate the suitability of the ARCTIC datasets for building this type of voice. 1.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Robert Clark
Korin Richmond
Simon King
spellingShingle Robert Clark
Korin Richmond
Simon King
S.: Multisyn voices from ARCTIC data for the Blizzard challenge
author_facet Robert Clark
Korin Richmond
Simon King
author_sort Robert Clark
title S.: Multisyn voices from ARCTIC data for the Blizzard challenge
title_short S.: Multisyn voices from ARCTIC data for the Blizzard challenge
title_full S.: Multisyn voices from ARCTIC data for the Blizzard challenge
title_fullStr S.: Multisyn voices from ARCTIC data for the Blizzard challenge
title_full_unstemmed S.: Multisyn voices from ARCTIC data for the Blizzard challenge
title_sort s.: multisyn voices from arctic data for the blizzard challenge
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.8594
http://www.festvox.org/blizzard/bc2005/IS051943.PDF
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http://www.festvox.org/blizzard/bc2005/IS051943.PDF
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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