| Presentation | 2005/3/7 Topic Segmentation Using Kernel Pricipal Component Analysis for Sub-Phonetic Segments Ken SADOHARA, Shi-wook LEE, Hiroaki KOJIMA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes an open-vocabulary method for segmenting spoken documents into topically homogeneous blocks. Without transcribing the spoken documents into texts, the method builds the topical clusters directly from recognized sub-phonetic segments, and thus it is not constrained in term of vocabulary or grammar. Each analysis interval constituting the clusters is represented as a vector in a high dimensional space spanned by all sub-phonetic segments with given length. Then a kernel principal component analysis reduces the dimensionality by grouping co-occurred sub-phonetic segments in each topic. This yields that cosine similarity between vectors is related with topical similarity, and the hierarchical clustering method using the similarity measure is expected to form topically homogeneous clusters. In fact, effectiveness of the method is shown in an experiment on topic segmentation of broadcast news. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | principal component analysis / kernel methods / topic segmentation / clustering / speech recognition |
| Paper # | AI2004-77 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2005/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Topic Segmentation Using Kernel Pricipal Component Analysis for Sub-Phonetic Segments |
| Sub Title (in English) | |
| Keyword(1) | principal component analysis |
| Keyword(2) | kernel methods |
| Keyword(3) | topic segmentation |
| Keyword(4) | clustering |
| Keyword(5) | speech recognition |
| 1st Author's Name | Ken SADOHARA |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) AIST Tsukuba Central 2() |
| 2nd Author's Name | Shi-wook LEE |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) AIST Tsukuba Central 2 |
| 3rd Author's Name | Hiroaki KOJIMA |
| 3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) AIST Tsukuba Central 2 |
| Date | 2005/3/7 |
| Paper # | AI2004-77 |
| Volume (vol) | vol.104 |
| Number (no) | 726 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |