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dc.contributor.author | Neubig, Graham | en |
dc.contributor.author | Akita, Yuya | en |
dc.contributor.author | Mori, Shinsuke | en |
dc.contributor.author | Kawahara, Tatsuya | en |
dc.date.accessioned | 2012-07-05T02:17:55Z | - |
dc.date.available | 2012-07-05T02:17:55Z | - |
dc.date.issued | 2012-10 | - |
dc.identifier.issn | 0885-2308 | - |
dc.identifier.uri | http://hdl.handle.net/2433/157359 | - |
dc.description.abstract | 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. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier Ltd. | en |
dc.rights | © 2012 Elsevier Ltd. | en |
dc.rights | この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | ja |
dc.rights | This is not the published version. Please cite only the published version. | en |
dc.subject | Rich transcription | en |
dc.subject | Speaking style transformation | en |
dc.subject | Disfluency detection | en |
dc.subject | Weighted finite state transducers | en |
dc.subject | Monotonic machine translation | en |
dc.title | A monotonic statistical machine translation approach to speaking style transformation | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.ncid | AA10677208 | - |
dc.identifier.jtitle | Computer Speech & Language | en |
dc.identifier.volume | 26 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 349 | - |
dc.identifier.epage | 370 | - |
dc.relation.doi | 10.1016/j.csl.2012.02.003 | - |
dc.textversion | author | - |
dcterms.accessRights | open access | - |
出現コレクション: | 学術雑誌掲載論文等 |
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