Presentation | 2006/12/15 Intelligent Transcription using Spontaneous Speech Processing Tatsuya KAWAHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With improvement of the spontaneous speech recognition technology, semi-automatic generation of transcripts or document records of lectures and meetings has become one of its promising applications. For this purpose, we need to take into account post-processing that includes cleaning of verbatim transcripts and segmentation into sentence/paragraph units. This article first gives a brief overview of major research activities on spontaneous speech processing, followed by the proposed statistical framework of an intelligent transcription system. Then, several approaches to sentence unit detection and disfluency detection are described. Finally, future works are discussed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech recognition / spontaneous speech processing / rich transcription |
Paper # | NLC2006-64,SP2006-120 |
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Committee | NLC |
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Conference Date | 2006/12/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Intelligent Transcription using Spontaneous Speech Processing |
Sub Title (in English) | |
Keyword(1) | speech recognition |
Keyword(2) | spontaneous speech processing |
Keyword(3) | rich transcription |
1st Author's Name | Tatsuya KAWAHARA |
1st Author's Affiliation | Kyoto University, School of Informatics() |
Date | 2006/12/15 |
Paper # | NLC2006-64,SP2006-120 |
Volume (vol) | vol.106 |
Number (no) | 442 |
Page | pp.pp.- |
#Pages | 6 |
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