Presentation | 2002/1/18 Use of F0 model for the extraction of important sentences in speech summarization Akira Inoue, Takayoshi Mikami, Yoichi YamashitaTA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | There are possibilities that prosodic information can improve the quality of speech summarization. This paper describes a method of the extraction of important sentences from spoken lectures using F0 parameters as well as linguistic information. The effectiveness of several F0 parameters are investigated for extracting important sentences. We tried some normalized F0 parameters introducing an F0 model that is constructed to predict the value average F0 of the bunsetsu unit in an ordinal utterance. An F0 prarameter is normalized by subtracting a value predicted by the model from a real F0 parameter. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Summarization / F0 model / Speech / Prosodic / Important sentence |
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Committee | SP |
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Conference Date | 2002/1/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Use of F0 model for the extraction of important sentences in speech summarization |
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Keyword(1) | Summarization |
Keyword(2) | F0 model |
Keyword(3) | Speech |
Keyword(4) | Prosodic |
Keyword(5) | Important sentence |
1st Author's Name | Akira Inoue |
1st Author's Affiliation | Graduate school of Science and Engineering, Ritsumeikan University() |
2nd Author's Name | Takayoshi Mikami |
2nd Author's Affiliation | Dep.of Computer Science, Ritsumeikan University |
3rd Author's Name | Yoichi YamashitaTA |
3rd Author's Affiliation | Dep.of Computer Science, Ritsumeikan University |
Date | 2002/1/18 |
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Volume (vol) | vol.101 |
Number (no) | 604 |
Page | pp.pp.- |
#Pages | 8 |
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