2012年10月
A monotonic statistical machine translation approach to speaking style transformation
COMPUTER SPEECH AND LANGUAGE
- ,
- ,
- ,
- 巻
- 26
- 号
- 5
- 開始ページ
- 349
- 終了ページ
- 370
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/j.csl.2012.02.003
- 出版者・発行元
- ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
This paper presents a method for automatically transforming faithful transcripts or ASR results into clean transcripts for human consumption using a framework we label speaking style transformation (SST). We perform a detailed analysis of the types of corrections performed by human stenographers when creating clean transcripts, and propose a model that is able to handle the majority of the most common corrections. In particular, the proposed model uses a framework of monotonic statistical machine translation to perform not only the deletion of disfluencies and insertion of punctuation, but also correction of colloquial expressions, insertions of omitted words, and other transformations. We provide a detailed description of the model implementation in the weighted finite state transducer (WFST) framework. An evaluation of the proposed model on both faithful transcripts and speech recognition results of parliamentary and lecture speech demonstrates the effectiveness of the proposed model in performing the wide variety of corrections necessary for creating clean transcripts. (C) 2012 Elsevier Ltd. All rights reserved.
- リンク情報
-
- DOI
- https://doi.org/10.1016/j.csl.2012.02.003
- J-GLOBAL
- https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201202281447754750
- CiNii Articles
- http://ci.nii.ac.jp/naid/120004247251
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000305307300004&DestApp=WOS_CPL
- ID情報
-
- DOI : 10.1016/j.csl.2012.02.003
- ISSN : 0885-2308
- eISSN : 1095-8363
- J-Global ID : 201202281447754750
- CiNii Articles ID : 120004247251
- Web of Science ID : WOS:000305307300004