Presentation | 1995/12/15 Word spotting using a contextual effect model Yuji Yonezawa, Masato Akagi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Coarticulation reduces word spotting accuracy in continuous speech when isolated uttered words are used as reference patterns for continuous DTW. In this paper, a contextual effect model was used as a front-end processor for word spotting to cope with coarticulation effects. The model adopted perceptual shifts by adjacent spectral peaks and has the ability to recover neutralized phonemes in continuous speech and can reduce vowel recognition error rates. The experiment results show that the model can improve word spotting accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | word spotting / continuous dynamic programming / contextual effect / coarticulation |
Paper # | SP95-108 |
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Conference Information | |
Committee | SP |
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Conference Date | 1995/12/15(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 using a contextual effect model |
Sub Title (in English) | |
Keyword(1) | word spotting |
Keyword(2) | continuous dynamic programming |
Keyword(3) | contextual effect |
Keyword(4) | coarticulation |
1st Author's Name | Yuji Yonezawa |
1st Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology() |
2nd Author's Name | Masato Akagi |
2nd Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology |
Date | 1995/12/15 |
Paper # | SP95-108 |
Volume (vol) | vol.95 |
Number (no) | 431 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |