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 process is almost entirely automatic, with very little need for human intervention. We discuss the difference in the...
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International Speech Communication Association
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ftunivedinburgh:oai:era.ed.ac.uk:1842/919 2023-07-30T04:00:20+02:00 Multisyn voices from ARCTIC data for the Blizzard challenge. Clark, Robert A J Richmond, Korin King, Simon 2005 298291 bytes application/pdf http://hdl.handle.net/1842/919 en eng International Speech Communication Association In Proc. Interspeech 2005, September 2005 http://hdl.handle.net/1842/919 speech synthesis festival ARCTIC datasets Multisyn Conference Paper 2005 ftunivedinburgh 2023-07-09T20:34:01Z 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 process 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. Conference Object Arctic Edinburgh Research Archive (ERA - University of Edinburgh) Arctic |
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Open Polar |
collection |
Edinburgh Research Archive (ERA - University of Edinburgh) |
op_collection_id |
ftunivedinburgh |
language |
English |
topic |
speech synthesis festival ARCTIC datasets Multisyn |
spellingShingle |
speech synthesis festival ARCTIC datasets Multisyn Clark, Robert A J Richmond, Korin King, Simon Multisyn voices from ARCTIC data for the Blizzard challenge. |
topic_facet |
speech synthesis festival ARCTIC datasets Multisyn |
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 process 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. |
format |
Conference Object |
author |
Clark, Robert A J Richmond, Korin King, Simon |
author_facet |
Clark, Robert A J Richmond, Korin King, Simon |
author_sort |
Clark, Robert A J |
title |
Multisyn voices from ARCTIC data for the Blizzard challenge. |
title_short |
Multisyn voices from ARCTIC data for the Blizzard challenge. |
title_full |
Multisyn voices from ARCTIC data for the Blizzard challenge. |
title_fullStr |
Multisyn voices from ARCTIC data for the Blizzard challenge. |
title_full_unstemmed |
Multisyn voices from ARCTIC data for the Blizzard challenge. |
title_sort |
multisyn voices from arctic data for the blizzard challenge. |
publisher |
International Speech Communication Association |
publishDate |
2005 |
url |
http://hdl.handle.net/1842/919 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
In Proc. Interspeech 2005, September 2005 http://hdl.handle.net/1842/919 |
_version_ |
1772810836551663616 |