Presentation | 1993/6/18 Large-Vocabulary Spoken Word Recognition Using Different Pattern of a Posteriori Probability Jouji Miwa, Seiki Kon, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a method of large-vocabulary spoken word recognition using two kinds of different pattern of a posteriori probabiliety. These are outputs of first and second stage in the hierarchical network units of phoneme based on probability(H-NEUROPHONE).A likilihood of word for recognition is calculated by phoneme-based bottom-up and topdown processing.In the recognition experiment of 5240 words uttered by one adult male speaker,the recognition score using two kinds of pattern is 84.4% and 2.4% higher than one kind. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech recognition / large vocabulary / phoneme / top-down processing |
Paper # | SP93-30 |
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Committee | SP |
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Conference Date | 1993/6/18(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) | Large-Vocabulary Spoken Word Recognition Using Different Pattern of a Posteriori Probability |
Sub Title (in English) | |
Keyword(1) | speech recognition |
Keyword(2) | large vocabulary |
Keyword(3) | phoneme |
Keyword(4) | top-down processing |
1st Author's Name | Jouji Miwa |
1st Author's Affiliation | Faculty of Engineering,Iwate University() |
2nd Author's Name | Seiki Kon |
2nd Author's Affiliation | Faculty of Engineering,Iwate University |
Date | 1993/6/18 |
Paper # | SP93-30 |
Volume (vol) | vol.93 |
Number (no) | 88 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |