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Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/7923

Title: ATRECSS: ATR English Speech Corpus for Speech Synthesis
Authors: Jinfu Ni
Toshio Hirai
Hisashi Kawai
Tomoki Toda
Keiichi Tokuda
Minoru Tsuzaki
Sinsuke Sakai
Ranniery Maia
Satoshi Nakamura
Issue Date: Aug-2007
Start page: 1
End page: 4
Article Number: 002
Abstract: This paper introduces a large-scale phonetically-balanced English speech corpus developed at ATR for corpus-based speech synthesis. This corpus includes a 16-hour American English speech data spoken by a professional male narrator in “reading style.” The contents of prompt sentences concern basically news articles, travel conversations, and novels. The prompt sentences were selected from huge collections of texts using a greedy algorithm to maximize the coverage of linguistic units, such as diphones and triphones. A few measures were taken to control undesirable recording variations in voice quality in the short term (daily) and long term (monthly) while recording the prompt sentences. Statistical figures of the corpus developed as well as those of subsets provided for Blizzard Challenge 2006 and 2007 are presented.
Description: Blizzard Challenge 2007 Workshop, August 25, 2007, Bonn, Germany.
URI: http://hdl.handle.net/10061/7923
Text Version: Publisher
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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