Presentation | 1993/6/18 A Frame Synchronous Word Spotting Method using a-posteriori Probabilities Akihiro Imamura, Mikio Kitai, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The high rate of False alarm is a serious problem in the Keyword Spotting methods based on the continuous Viterbi decoding using HMMS.To overcome this problem,in the paper,we propose a frame- synchronous Keyword Spotting method which extracts candidates for the word sequences accepted by a syntactic automaton with garbage words and keywords.The HMMs for the garbage words are estimated from the non-speech periods and the utterances for non-keywords which will be appeared in spontaneous input speech.Comparing the a- posteriori probabilities obtained by using the One-Pass search algorithm,candidates are extracted accurately.The detail of method and experimental results which compare garbage HMMs are described. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Word-Spotting / Telephone speech recognition / HMM / a- posteriori probability |
Paper # | SP93-31 |
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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) | A Frame Synchronous Word Spotting Method using a-posteriori Probabilities |
Sub Title (in English) | |
Keyword(1) | Word-Spotting |
Keyword(2) | Telephone speech recognition |
Keyword(3) | HMM |
Keyword(4) | a- posteriori probability |
1st Author's Name | Akihiro Imamura |
1st Author's Affiliation | NTT Human Interface Laboratory() |
2nd Author's Name | Mikio Kitai |
2nd Author's Affiliation | NTT Human Interface Laboratory |
Date | 1993/6/18 |
Paper # | SP93-31 |
Volume (vol) | vol.93 |
Number (no) | 88 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |