Presentation | 1997/6/20 Word Spotting based on the Generalized Hough Transform Kouji SUGINO, Yutaka KOBAYASHI, Yasuhisa NIIMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a method to detect particular speech segments as a key word from speech database. This approach, which is categorized as a template matching method, is aimed to identify speech segments without any models like HMM's. The Generalized Hough Transform(GHT) has been used to find arbitrary complex shapes on the image plane. We extended the GHT to be able to deal with three-dimensional shapes and applied it to the key word spotting in which a speech signal is represented as a spectral sequence. Then we conducted an experiment on the key word spotting, in which 15 key words were tried to extract from 450 utterances produced by 30 male speakers. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | spotting / template matching / Generalized Hough Transform / spectral sequence |
Paper # | SP97-23 |
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Committee | SP |
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Conference Date | 1997/6/20(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 | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Word Spotting based on the Generalized Hough Transform |
Sub Title (in English) | |
Keyword(1) | spotting |
Keyword(2) | template matching |
Keyword(3) | Generalized Hough Transform |
Keyword(4) | spectral sequence |
1st Author's Name | Kouji SUGINO |
1st Author's Affiliation | Department of Electronics and Information Science Kyoto Institute of Technology() |
2nd Author's Name | Yutaka KOBAYASHI |
2nd Author's Affiliation | Department of Electronics and Information Science Kyoto Institute of Technology |
3rd Author's Name | Yasuhisa NIIMI |
3rd Author's Affiliation | Department of Electronics and Information Science Kyoto Institute of Technology |
Date | 1997/6/20 |
Paper # | SP97-23 |
Volume (vol) | vol.97 |
Number (no) | 115 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |