2011 Fiscal Year Final Research Report
Study of automatic style transformation of spoken transcripts based on statistical modeling of spontaneous speech
| Project/Area Number |
21700193
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kyoto University |
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Principal Investigator |
AKITA Yuya 京都大学, 学術情報メディアセンター, 助教 (90402742)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 話し言葉 / 音声認識 / 自動整形 / モデル化 |
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| Research Abstract |
To enhance the availability of spontaneous speech recognition, we conducted a study of automatic transformation of spoken transcripts to the document style. Since spoken transcripts contain a variety of colloquial and redundant expressions, and no punctuation marks are inserted, readability of such transcripts is quite low. In this study, we specifically focused on transformation of text styles by modeling the correspondence between spoken and documented texts, and automatic punctuation for spoken transcripts.
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