Presentation | 2008-12-10 Speech period detection using Hough transform of distance matrix images HIROYUKI NISHI, YOSHIMASA KIMURA, VAN DON Nguyen, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, using an input voice and a standard patterns as both axes, the analysis method that uses the distance matrix image where the distance value in the intersection coordinates expresses the brightness of the pixel is proposed. In case that a standard pattern is included in the input atterence, line area is obeseved in the distance matrix image. The line area is detected by the Hough transform of the distance matrix image. This idea was confirmed by the experiment of JEIDA 100 cities. The largest error of the beginning point was 120ms at most and the ending point was 70ms. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech recognition / word spotting / distance matrix image / word period / Hough transform |
Paper # | NLC2008-57,SP2008-112 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2008/12/2(1days) |
Place (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) | Speech period detection using Hough transform of distance matrix images |
Sub Title (in English) | |
Keyword(1) | speech recognition |
Keyword(2) | word spotting |
Keyword(3) | distance matrix image |
Keyword(4) | word period |
Keyword(5) | Hough transform |
1st Author's Name | HIROYUKI NISHI |
1st Author's Affiliation | Faculty of Computer and Information Sciences, Sojo University() |
2nd Author's Name | YOSHIMASA KIMURA |
2nd Author's Affiliation | Faculty of Computer and Information Sciences, Sojo University |
3rd Author's Name | VAN DON Nguyen |
3rd Author's Affiliation | Faculty of Computer and Information Sciences, Sojo University |
Date | 2008-12-10 |
Paper # | NLC2008-57,SP2008-112 |
Volume (vol) | vol.108 |
Number (no) | 337 |
Page | pp.pp.- |
#Pages | 6 |
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