Presentation | 2013-06-14 Language Model Updating for Captioning of Disaster Broadcasts Takahiro OKU, Yuya FUJITA, Akio KOBAYASHI, Shoei SATO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a language model (LM) adaptation method for transcribing disaster broadcasts. Because the disaster itself is an unprecedented event, there might be not enough quantities of training texts for the LM adaptation in the disaster. Then, our proposed method adapts LM in an unsupervised manner by using speech recognition results in addition to the online manuscripts. The proposed method, furthermore, employs a progressive updating procedure, which adapts in a short period to reflect the latest situation of the disaster to the LM. Experimental results showed that the proposed LM adaptation method reduced relatively a word error rate by 8.2% compared with the conventional LM adaptation method with online manuscripts only. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Unsupervised adaptation / Closed captioning / Disaster broadcasting |
Paper # | SP2013-48,WIT2013-18 |
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Committee | WIT |
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Conference Date | 2013/6/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Language Model Updating for Captioning of Disaster Broadcasts |
Sub Title (in English) | |
Keyword(1) | Unsupervised adaptation |
Keyword(2) | Closed captioning |
Keyword(3) | Disaster broadcasting |
1st Author's Name | Takahiro OKU |
1st Author's Affiliation | NHK Science and Technology Research Laboratories() |
2nd Author's Name | Yuya FUJITA |
2nd Author's Affiliation | NHK Science and Technology Research Laboratories |
3rd Author's Name | Akio KOBAYASHI |
3rd Author's Affiliation | NHK Science and Technology Research Laboratories |
4th Author's Name | Shoei SATO |
4th Author's Affiliation | NHK Science and Technology Research Laboratories |
Date | 2013-06-14 |
Paper # | SP2013-48,WIT2013-18 |
Volume (vol) | vol.113 |
Number (no) | 77 |
Page | pp.pp.- |
#Pages | 6 |
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